new run

.ipynb_checkpoints/added_tokens-checkpoint.json

@@ -1 +0,0 @@
-{"<s>": 216, "</s>": 217}

.ipynb_checkpoints/all_results-checkpoint.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 2.0,
+    "eval_loss": 0.23875188827514648,
+    "eval_runtime": 294.1776,
+    "eval_samples": 5792,
+    "eval_samples_per_second": 19.689,
+    "eval_steps_per_second": 0.309,
+    "eval_wer": 0.3680797679950471,
+    "train_loss": 1.442369053426242,
+    "train_runtime": 53680.5392,
+    "train_samples": 442265,
+    "train_samples_per_second": 16.478,
+    "train_steps_per_second": 0.257
+}

.ipynb_checkpoints/run-checkpoint.sh

@@ -6,12 +6,12 @@ python run_speech_recognition_ctc.py \
 --tokenizer_name_or_path="./" \
 --output_dir="./" \
 --overwrite_output_dir \
---num_train_epochs="2" \
+--num_train_epochs="4" \
 --per_device_train_batch_size="64" \
 --per_device_eval_batch_size="64" \
 --gradient_accumulation_steps="1" \
---learning_rate="1e-4" \
---warmup_steps="1500" \
+--learning_rate="1.5e-4" \
+--warmup_steps="2700" \
 --length_column_name="input_length" \
 --evaluation_strategy="steps" \
 --text_column_name="sentence" \
@@ -23,15 +23,15 @@ python run_speech_recognition_ctc.py \
 --save_total_limit="2" \
 --freeze_feature_encoder \
 --feat_proj_dropout="0.0" \
---mask_time_prob="0.75" \
+--mask_time_prob="0.6" \
 --mask_time_length="10" \
---mask_feature_prob="0.4" \
+--mask_feature_prob="0.25" \
 --mask_feature_length="10" \
 --gradient_checkpointing \
 --report_to="wandb" \
 --run_name="xls-r-300m-fr" \
---max_eval_samples="6000" \
---max_duration_in_seconds="9" \
+--max_eval_samples="4500" \
+--max_duration_in_seconds="10" \
 --use_auth_token \
 --fp16 \
 --group_by_length \

.ipynb_checkpoints/run_speech_recognition_ctc-checkpoint.py

@@ -642,7 +642,8 @@ def main():
 
         pred.label_ids[pred.label_ids == -100] = tokenizer.pad_token_id
 
-        pred_str = tokenizer.batch_decode(pred_ids, skip_special_tokens=True)#being sure to remove <s> from the output
+        pred_str = tokenizer.batch_decode(pred_ids)#, skip_special_tokens=True)#being sure to remove <s> from the output
+        print(pred_str)
         # we do not want to group tokens when computing the metrics
         label_str = tokenizer.batch_decode(pred.label_ids, group_tokens=False)
 

.ipynb_checkpoints/special_tokens_map-checkpoint.json

@@ -1 +0,0 @@
-{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]", "additional_special_tokens": [{"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}]}

.ipynb_checkpoints/tokenizer_config-checkpoint.json

@@ -1 +0,0 @@
-{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "config": null, "tokenizer_type": "wav2vec2", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}

.ipynb_checkpoints/train_results-checkpoint.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "train_loss": 1.442369053426242,
+    "train_runtime": 53680.5392,
+    "train_samples": 442265,
+    "train_samples_per_second": 16.478,
+    "train_steps_per_second": 0.257
+}

.ipynb_checkpoints/trainer_state-checkpoint.json

@@ -0,0 +1,1096 @@
+{
+  "best_metric": 0.23875188827514648,
+  "best_model_checkpoint": "./checkpoint-13500",
+  "epoch": 2.0,
+  "global_step": 13822,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.533333333333333e-06,
+      "loss": 17.2403,
+      "step": 100
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.32e-05,
+      "loss": 10.2311,
+      "step": 200
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9800000000000004e-05,
+      "loss": 7.834,
+      "step": 300
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 2.646666666666667e-05,
+      "loss": 6.0656,
+      "step": 400
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 3.313333333333333e-05,
+      "loss": 4.3748,
+      "step": 500
+    },
+    {
+      "epoch": 0.07,
+      "eval_loss": 3.878422975540161,
+      "eval_runtime": 285.8223,
+      "eval_samples_per_second": 20.264,
+      "eval_steps_per_second": 0.318,
+      "eval_wer": 1.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 3.9800000000000005e-05,
+      "loss": 3.2923,
+      "step": 600
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 4.646666666666667e-05,
+      "loss": 2.9475,
+      "step": 700
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 5.3133333333333335e-05,
+      "loss": 2.8639,
+      "step": 800
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 5.9800000000000003e-05,
+      "loss": 2.8265,
+      "step": 900
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 6.646666666666667e-05,
+      "loss": 2.8068,
+      "step": 1000
+    },
+    {
+      "epoch": 0.14,
+      "eval_loss": 2.828850746154785,
+      "eval_runtime": 292.3877,
+      "eval_samples_per_second": 19.809,
+      "eval_steps_per_second": 0.311,
+      "eval_wer": 0.9826485059793412,
+      "step": 1000
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 7.306666666666668e-05,
+      "loss": 2.779,
+      "step": 1100
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 7.973333333333334e-05,
+      "loss": 2.6402,
+      "step": 1200
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 8.64e-05,
+      "loss": 2.1119,
+      "step": 1300
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 9.306666666666667e-05,
+      "loss": 1.7965,
+      "step": 1400
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 9.973333333333334e-05,
+      "loss": 1.6698,
+      "step": 1500
+    },
+    {
+      "epoch": 0.22,
+      "eval_loss": 0.881136417388916,
+      "eval_runtime": 297.1806,
+      "eval_samples_per_second": 19.49,
+      "eval_steps_per_second": 0.306,
+      "eval_wer": 0.7127472384241911,
+      "step": 1500
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 9.92209056971271e-05,
+      "loss": 1.5882,
+      "step": 1600
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 9.840934913163448e-05,
+      "loss": 1.5172,
+      "step": 1700
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 9.759779256614186e-05,
+      "loss": 1.4579,
+      "step": 1800
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 9.678623600064926e-05,
+      "loss": 1.3829,
+      "step": 1900
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 9.597467943515663e-05,
+      "loss": 1.3488,
+      "step": 2000
+    },
+    {
+      "epoch": 0.29,
+      "eval_loss": 0.516592800617218,
+      "eval_runtime": 301.2842,
+      "eval_samples_per_second": 19.224,
+      "eval_steps_per_second": 0.302,
+      "eval_wer": 0.5369024731988661,
+      "step": 2000
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 9.516312286966402e-05,
+      "loss": 1.2981,
+      "step": 2100
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 9.43515663041714e-05,
+      "loss": 1.2845,
+      "step": 2200
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 9.354000973867879e-05,
+      "loss": 1.2459,
+      "step": 2300
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 9.272845317318618e-05,
+      "loss": 1.2255,
+      "step": 2400
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 9.191689660769356e-05,
+      "loss": 1.2239,
+      "step": 2500
+    },
+    {
+      "epoch": 0.36,
+      "eval_loss": 0.4104757010936737,
+      "eval_runtime": 299.1395,
+      "eval_samples_per_second": 19.362,
+      "eval_steps_per_second": 0.304,
+      "eval_wer": 0.474111245071524,
+      "step": 2500
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 9.110534004220094e-05,
+      "loss": 1.2024,
+      "step": 2600
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 9.030189904236326e-05,
+      "loss": 1.1851,
+      "step": 2700
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 8.949034247687063e-05,
+      "loss": 1.1768,
+      "step": 2800
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 8.867878591137803e-05,
+      "loss": 1.1641,
+      "step": 2900
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 8.786722934588541e-05,
+      "loss": 1.1537,
+      "step": 3000
+    },
+    {
+      "epoch": 0.43,
+      "eval_loss": 0.35850802063941956,
+      "eval_runtime": 299.662,
+      "eval_samples_per_second": 19.328,
+      "eval_steps_per_second": 0.304,
+      "eval_wer": 0.4448499462348073,
+      "step": 3000
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 8.70556727803928e-05,
+      "loss": 1.1449,
+      "step": 3100
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 8.624411621490018e-05,
+      "loss": 1.1379,
+      "step": 3200
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 8.543255964940758e-05,
+      "loss": 1.1331,
+      "step": 3300
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 8.462100308391495e-05,
+      "loss": 1.1205,
+      "step": 3400
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 8.380944651842234e-05,
+      "loss": 1.1184,
+      "step": 3500
+    },
+    {
+      "epoch": 0.51,
+      "eval_loss": 0.333638072013855,
+      "eval_runtime": 297.0402,
+      "eval_samples_per_second": 19.499,
+      "eval_steps_per_second": 0.306,
+      "eval_wer": 0.42922545537489004,
+      "step": 3500
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 8.299788995292971e-05,
+      "loss": 1.1014,
+      "step": 3600
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 8.218633338743711e-05,
+      "loss": 1.1114,
+      "step": 3700
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.13747768219445e-05,
+      "loss": 1.117,
+      "step": 3800
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.056322025645188e-05,
+      "loss": 1.102,
+      "step": 3900
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.975166369095926e-05,
+      "loss": 1.0968,
+      "step": 4000
+    },
+    {
+      "epoch": 0.58,
+      "eval_loss": 0.31949570775032043,
+      "eval_runtime": 296.0172,
+      "eval_samples_per_second": 19.566,
+      "eval_steps_per_second": 0.307,
+      "eval_wer": 0.4180162273127179,
+      "step": 4000
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.894822269112158e-05,
+      "loss": 1.0942,
+      "step": 4100
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.813666612562897e-05,
+      "loss": 1.0859,
+      "step": 4200
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 7.732510956013635e-05,
+      "loss": 1.0767,
+      "step": 4300
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 7.652166856029866e-05,
+      "loss": 1.0766,
+      "step": 4400
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 7.571011199480604e-05,
+      "loss": 1.0737,
+      "step": 4500
+    },
+    {
+      "epoch": 0.65,
+      "eval_loss": 0.30754634737968445,
+      "eval_runtime": 296.2378,
+      "eval_samples_per_second": 19.552,
+      "eval_steps_per_second": 0.307,
+      "eval_wer": 0.41408973899442797,
+      "step": 4500
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 7.489855542931342e-05,
+      "loss": 1.0807,
+      "step": 4600
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 7.40869988638208e-05,
+      "loss": 1.071,
+      "step": 4700
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 7.32754422983282e-05,
+      "loss": 1.0613,
+      "step": 4800
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 7.246388573283557e-05,
+      "loss": 1.0635,
+      "step": 4900
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 7.165232916734297e-05,
+      "loss": 1.0677,
+      "step": 5000
+    },
+    {
+      "epoch": 0.72,
+      "eval_loss": 0.30150118470191956,
+      "eval_runtime": 297.4742,
+      "eval_samples_per_second": 19.471,
+      "eval_steps_per_second": 0.306,
+      "eval_wer": 0.4089250219948516,
+      "step": 5000
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 7.084077260185034e-05,
+      "loss": 1.0707,
+      "step": 5100
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 7.002921603635774e-05,
+      "loss": 1.0617,
+      "step": 5200
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 6.921765947086512e-05,
+      "loss": 1.0566,
+      "step": 5300
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 6.84061029053725e-05,
+      "loss": 1.0518,
+      "step": 5400
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 6.760266190553481e-05,
+      "loss": 1.0462,
+      "step": 5500
+    },
+    {
+      "epoch": 0.8,
+      "eval_loss": 0.297052800655365,
+      "eval_runtime": 296.1592,
+      "eval_samples_per_second": 19.557,
+      "eval_steps_per_second": 0.307,
+      "eval_wer": 0.4077193782788621,
+      "step": 5500
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 6.679110534004221e-05,
+      "loss": 1.0514,
+      "step": 5600
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 6.597954877454959e-05,
+      "loss": 1.0446,
+      "step": 5700
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 6.516799220905698e-05,
+      "loss": 1.0358,
+      "step": 5800
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 6.435643564356436e-05,
+      "loss": 1.0364,
+      "step": 5900
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 6.354487907807174e-05,
+      "loss": 1.0392,
+      "step": 6000
+    },
+    {
+      "epoch": 0.87,
+      "eval_loss": 0.2870033383369446,
+      "eval_runtime": 295.9814,
+      "eval_samples_per_second": 19.569,
+      "eval_steps_per_second": 0.307,
+      "eval_wer": 0.3997034768157972,
+      "step": 6000
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.273332251257913e-05,
+      "loss": 1.0375,
+      "step": 6100
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 6.192176594708652e-05,
+      "loss": 1.0408,
+      "step": 6200
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 6.11102093815939e-05,
+      "loss": 1.0382,
+      "step": 6300
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 6.0298652816101284e-05,
+      "loss": 1.0335,
+      "step": 6400
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 5.948709625060867e-05,
+      "loss": 1.0178,
+      "step": 6500
+    },
+    {
+      "epoch": 0.94,
+      "eval_loss": 0.28046590089797974,
+      "eval_runtime": 297.8045,
+      "eval_samples_per_second": 19.449,
+      "eval_steps_per_second": 0.306,
+      "eval_wer": 0.39629834794225943,
+      "step": 6500
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 5.867553968511605e-05,
+      "loss": 1.0312,
+      "step": 6600
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.786398311962344e-05,
+      "loss": 1.033,
+      "step": 6700
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 5.7052426554130825e-05,
+      "loss": 1.0289,
+      "step": 6800
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.624086998863821e-05,
+      "loss": 1.027,
+      "step": 6900
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 5.54293134231456e-05,
+      "loss": 0.992,
+      "step": 7000
+    },
+    {
+      "epoch": 1.01,
+      "eval_loss": 0.2747785747051239,
+      "eval_runtime": 298.4841,
+      "eval_samples_per_second": 19.405,
+      "eval_steps_per_second": 0.305,
+      "eval_wer": 0.39352862589201343,
+      "step": 7000
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 5.461775685765298e-05,
+      "loss": 1.0025,
+      "step": 7100
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 5.3806200292160366e-05,
+      "loss": 1.0122,
+      "step": 7200
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 5.299464372666775e-05,
+      "loss": 1.018,
+      "step": 7300
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 5.218308716117514e-05,
+      "loss": 0.9936,
+      "step": 7400
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 5.137153059568252e-05,
+      "loss": 1.0197,
+      "step": 7500
+    },
+    {
+      "epoch": 1.09,
+      "eval_loss": 0.26907604932785034,
+      "eval_runtime": 298.796,
+      "eval_samples_per_second": 19.384,
+      "eval_steps_per_second": 0.305,
+      "eval_wer": 0.3884453713056796,
+      "step": 7500
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 5.055997403018991e-05,
+      "loss": 1.008,
+      "step": 7600
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 4.97484174646973e-05,
+      "loss": 1.0028,
+      "step": 7700
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 4.893686089920468e-05,
+      "loss": 0.9929,
+      "step": 7800
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 4.8125304333712064e-05,
+      "loss": 0.995,
+      "step": 7900
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 4.731374776821945e-05,
+      "loss": 1.0056,
+      "step": 8000
+    },
+    {
+      "epoch": 1.16,
+      "eval_loss": 0.26817116141319275,
+      "eval_runtime": 298.1504,
+      "eval_samples_per_second": 19.426,
+      "eval_steps_per_second": 0.305,
+      "eval_wer": 0.3888526833718922,
+      "step": 8000
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 4.6510306768381754e-05,
+      "loss": 0.9971,
+      "step": 8100
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 4.5698750202889145e-05,
+      "loss": 0.9976,
+      "step": 8200
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 4.488719363739653e-05,
+      "loss": 1.0014,
+      "step": 8300
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 4.407563707190391e-05,
+      "loss": 0.9835,
+      "step": 8400
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 4.3272196072066225e-05,
+      "loss": 0.9826,
+      "step": 8500
+    },
+    {
+      "epoch": 1.23,
+      "eval_loss": 0.26473307609558105,
+      "eval_runtime": 299.0161,
+      "eval_samples_per_second": 19.37,
+      "eval_steps_per_second": 0.304,
+      "eval_wer": 0.38675095311023494,
+      "step": 8500
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 4.2460639506573615e-05,
+      "loss": 0.9838,
+      "step": 8600
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 4.1649082941081e-05,
+      "loss": 0.9836,
+      "step": 8700
+    },
+    {
+      "epoch": 1.27,
+      "learning_rate": 4.0845641941243305e-05,
+      "loss": 0.9824,
+      "step": 8800
+    },
+    {
+      "epoch": 1.29,
+      "learning_rate": 4.003408537575069e-05,
+      "loss": 0.9715,
+      "step": 8900
+    },
+    {
+      "epoch": 1.3,
+      "learning_rate": 3.922252881025807e-05,
+      "loss": 0.9815,
+      "step": 9000
+    },
+    {
+      "epoch": 1.3,
+      "eval_loss": 0.26034271717071533,
+      "eval_runtime": 299.6782,
+      "eval_samples_per_second": 19.327,
+      "eval_steps_per_second": 0.304,
+      "eval_wer": 0.3831828994102121,
+      "step": 9000
+    },
+    {
+      "epoch": 1.32,
+      "learning_rate": 3.841097224476546e-05,
+      "loss": 0.9757,
+      "step": 9100
+    },
+    {
+      "epoch": 1.33,
+      "learning_rate": 3.7599415679272846e-05,
+      "loss": 0.9689,
+      "step": 9200
+    },
+    {
+      "epoch": 1.35,
+      "learning_rate": 3.678785911378023e-05,
+      "loss": 0.9778,
+      "step": 9300
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 3.5976302548287614e-05,
+      "loss": 0.9794,
+      "step": 9400
+    },
+    {
+      "epoch": 1.37,
+      "learning_rate": 3.5164745982795e-05,
+      "loss": 0.9717,
+      "step": 9500
+    },
+    {
+      "epoch": 1.37,
+      "eval_loss": 0.25609487295150757,
+      "eval_runtime": 299.6976,
+      "eval_samples_per_second": 19.326,
+      "eval_steps_per_second": 0.304,
+      "eval_wer": 0.3807064420476392,
+      "step": 9500
+    },
+    {
+      "epoch": 1.39,
+      "learning_rate": 3.435318941730239e-05,
+      "loss": 0.9752,
+      "step": 9600
+    },
+    {
+      "epoch": 1.4,
+      "learning_rate": 3.354163285180977e-05,
+      "loss": 0.965,
+      "step": 9700
+    },
+    {
+      "epoch": 1.42,
+      "learning_rate": 3.2730076286317155e-05,
+      "loss": 0.9522,
+      "step": 9800
+    },
+    {
+      "epoch": 1.43,
+      "learning_rate": 3.191851972082454e-05,
+      "loss": 0.9718,
+      "step": 9900
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 3.110696315533193e-05,
+      "loss": 0.9605,
+      "step": 10000
+    },
+    {
+      "epoch": 1.45,
+      "eval_loss": 0.25231894850730896,
+      "eval_runtime": 297.5796,
+      "eval_samples_per_second": 19.464,
+      "eval_steps_per_second": 0.306,
+      "eval_wer": 0.3782951546156603,
+      "step": 10000
+    },
+    {
+      "epoch": 1.46,
+      "learning_rate": 3.0295406589839315e-05,
+      "loss": 0.9635,
+      "step": 10100
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 2.94838500243467e-05,
+      "loss": 0.9632,
+      "step": 10200
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 2.8672293458854082e-05,
+      "loss": 0.9548,
+      "step": 10300
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 2.7868852459016392e-05,
+      "loss": 0.9554,
+      "step": 10400
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 2.7057295893523783e-05,
+      "loss": 0.96,
+      "step": 10500
+    },
+    {
+      "epoch": 1.52,
+      "eval_loss": 0.24939315021038055,
+      "eval_runtime": 300.036,
+      "eval_samples_per_second": 19.304,
+      "eval_steps_per_second": 0.303,
+      "eval_wer": 0.3787513441298185,
+      "step": 10500
+    },
+    {
+      "epoch": 1.53,
+      "learning_rate": 2.6245739328031166e-05,
+      "loss": 0.9611,
+      "step": 10600
+    },
+    {
+      "epoch": 1.55,
+      "learning_rate": 2.543418276253855e-05,
+      "loss": 0.9594,
+      "step": 10700
+    },
+    {
+      "epoch": 1.56,
+      "learning_rate": 2.4622626197045937e-05,
+      "loss": 0.9589,
+      "step": 10800
+    },
+    {
+      "epoch": 1.58,
+      "learning_rate": 2.381106963155332e-05,
+      "loss": 0.9441,
+      "step": 10900
+    },
+    {
+      "epoch": 1.59,
+      "learning_rate": 2.2999513066060704e-05,
+      "loss": 0.9442,
+      "step": 11000
+    },
+    {
+      "epoch": 1.59,
+      "eval_loss": 0.24783751368522644,
+      "eval_runtime": 297.7741,
+      "eval_samples_per_second": 19.451,
+      "eval_steps_per_second": 0.306,
+      "eval_wer": 0.3760142070448695,
+      "step": 11000
+    },
+    {
+      "epoch": 1.61,
+      "learning_rate": 2.218795650056809e-05,
+      "loss": 0.9496,
+      "step": 11100
+    },
+    {
+      "epoch": 1.62,
+      "learning_rate": 2.1376399935075474e-05,
+      "loss": 0.9486,
+      "step": 11200
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 2.056484336958286e-05,
+      "loss": 0.9558,
+      "step": 11300
+    },
+    {
+      "epoch": 1.65,
+      "learning_rate": 1.9753286804090245e-05,
+      "loss": 0.9486,
+      "step": 11400
+    },
+    {
+      "epoch": 1.66,
+      "learning_rate": 1.8941730238597632e-05,
+      "loss": 0.9564,
+      "step": 11500
+    },
+    {
+      "epoch": 1.66,
+      "eval_loss": 0.2454409897327423,
+      "eval_runtime": 296.0265,
+      "eval_samples_per_second": 19.566,
+      "eval_steps_per_second": 0.307,
+      "eval_wer": 0.3733096549252175,
+      "step": 11500
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 1.8130173673105015e-05,
+      "loss": 0.9427,
+      "step": 11600
+    },
+    {
+      "epoch": 1.69,
+      "learning_rate": 1.73186171076124e-05,
+      "loss": 0.9423,
+      "step": 11700
+    },
+    {
+      "epoch": 1.71,
+      "learning_rate": 1.6507060542119786e-05,
+      "loss": 0.9503,
+      "step": 11800
+    },
+    {
+      "epoch": 1.72,
+      "learning_rate": 1.5695503976627173e-05,
+      "loss": 0.9383,
+      "step": 11900
+    },
+    {
+      "epoch": 1.74,
+      "learning_rate": 1.4883947411134558e-05,
+      "loss": 0.9436,
+      "step": 12000
+    },
+    {
+      "epoch": 1.74,
+      "eval_loss": 0.24390804767608643,
+      "eval_runtime": 295.4584,
+      "eval_samples_per_second": 19.603,
+      "eval_steps_per_second": 0.308,
+      "eval_wer": 0.37467822346769203,
+      "step": 12000
+    },
+    {
+      "epoch": 1.75,
+      "learning_rate": 1.4072390845641942e-05,
+      "loss": 0.9491,
+      "step": 12100
+    },
+    {
+      "epoch": 1.77,
+      "learning_rate": 1.3260834280149325e-05,
+      "loss": 0.9419,
+      "step": 12200
+    },
+    {
+      "epoch": 1.78,
+      "learning_rate": 1.2449277714656712e-05,
+      "loss": 0.9517,
+      "step": 12300
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 1.1637721149164097e-05,
+      "loss": 0.9367,
+      "step": 12400
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 1.0826164583671483e-05,
+      "loss": 0.938,
+      "step": 12500
+    },
+    {
+      "epoch": 1.81,
+      "eval_loss": 0.24111612141132355,
+      "eval_runtime": 296.9314,
+      "eval_samples_per_second": 19.506,
+      "eval_steps_per_second": 0.306,
+      "eval_wer": 0.37159894424712436,
+      "step": 12500
+    },
+    {
+      "epoch": 1.82,
+      "learning_rate": 1.0014608018178868e-05,
+      "loss": 0.9337,
+      "step": 12600
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 9.203051452686253e-06,
+      "loss": 0.9284,
+      "step": 12700
+    },
+    {
+      "epoch": 1.85,
+      "learning_rate": 8.391494887193638e-06,
+      "loss": 0.938,
+      "step": 12800
+    },
+    {
+      "epoch": 1.87,
+      "learning_rate": 7.579938321701023e-06,
+      "loss": 0.9365,
+      "step": 12900
+    },
+    {
+      "epoch": 1.88,
+      "learning_rate": 6.768381756208409e-06,
+      "loss": 0.9353,
+      "step": 13000
+    },
+    {
+      "epoch": 1.88,
+      "eval_loss": 0.23965783417224884,
+      "eval_runtime": 296.6078,
+      "eval_samples_per_second": 19.527,
+      "eval_steps_per_second": 0.307,
+      "eval_wer": 0.3697904786731402,
+      "step": 13000
+    },
+    {
+      "epoch": 1.9,
+      "learning_rate": 5.956825190715793e-06,
+      "loss": 0.9413,
+      "step": 13100
+    },
+    {
+      "epoch": 1.91,
+      "learning_rate": 5.153384190878104e-06,
+      "loss": 0.9356,
+      "step": 13200
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 4.34182762538549e-06,
+      "loss": 0.9209,
+      "step": 13300
+    },
+    {
+      "epoch": 1.94,
+      "learning_rate": 3.530271059892875e-06,
+      "loss": 0.9362,
+      "step": 13400
+    },
+    {
+      "epoch": 1.95,
+      "learning_rate": 2.71871449440026e-06,
+      "loss": 0.9271,
+      "step": 13500
+    },
+    {
+      "epoch": 1.95,
+      "eval_loss": 0.23875188827514648,
+      "eval_runtime": 296.9414,
+      "eval_samples_per_second": 19.506,
+      "eval_steps_per_second": 0.306,
+      "eval_wer": 0.3680797679950471,
+      "step": 13500
+    },
+    {
+      "epoch": 1.97,
+      "learning_rate": 1.907157928907645e-06,
+      "loss": 0.9288,
+      "step": 13600
+    },
+    {
+      "epoch": 1.98,
+      "learning_rate": 1.0956013634150302e-06,
+      "loss": 0.9345,
+      "step": 13700
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 2.840447979224152e-07,
+      "loss": 0.9326,
+      "step": 13800
+    },
+    {
+      "epoch": 2.0,
+      "step": 13822,
+      "total_flos": 1.2600843645735263e+20,
+      "train_loss": 1.442369053426242,
+      "train_runtime": 53680.5392,
+      "train_samples_per_second": 16.478,
+      "train_steps_per_second": 0.257
+    }
+  ],
+  "max_steps": 13822,
+  "num_train_epochs": 2,
+  "total_flos": 1.2600843645735263e+20,
+  "trial_name": null,
+  "trial_params": null
+}

added_tokens.json

@@ -1 +0,0 @@
-{}

config.json

@@ -6,7 +6,7 @@
   "add_adapter": false,
   "apply_spec_augment": true,
   "architectures": [
-    "Wav2Vec2ForCTC"
+    "Wav2Vec2ForPreTraining"
   ],
   "attention_dropout": 0.0,
   "bos_token_id": 1,
@@ -61,10 +61,10 @@
   "layerdrop": 0.0,
   "mask_feature_length": 10,
   "mask_feature_min_masks": 0,
-  "mask_feature_prob": 0.4,
+  "mask_feature_prob": 0.25,
   "mask_time_length": 10,
   "mask_time_min_masks": 2,
-  "mask_time_prob": 0.75,
+  "mask_time_prob": 0.6,
   "model_type": "wav2vec2",
   "num_adapter_layers": 3,
   "num_attention_heads": 16,
@@ -76,7 +76,7 @@
   "num_hidden_layers": 24,
   "num_negatives": 100,
   "output_hidden_size": 1024,
-  "pad_token_id": 216,
+  "pad_token_id": 218,
   "proj_codevector_dim": 768,
   "tdnn_dilation": [
     1,
@@ -102,6 +102,6 @@
   "torch_dtype": "float32",
   "transformers_version": "4.17.0.dev0",
   "use_weighted_layer_sum": false,
-  "vocab_size": 218,
+  "vocab_size": 219,
   "xvector_output_dim": 512
 }

run.sh

@@ -10,8 +10,8 @@ python run_speech_recognition_ctc.py \
 --per_device_train_batch_size="64" \
 --per_device_eval_batch_size="64" \
 --gradient_accumulation_steps="1" \
---learning_rate="2e-4" \
---warmup_steps="2500" \
+--learning_rate="1.5e-4" \
+--warmup_steps="2700" \
 --length_column_name="input_length" \
 --evaluation_strategy="steps" \
 --text_column_name="sentence" \
@@ -30,7 +30,7 @@ python run_speech_recognition_ctc.py \
 --gradient_checkpointing \
 --report_to="wandb" \
 --run_name="xls-r-300m-fr" \
---max_eval_samples="6000" \
+--max_eval_samples="4500" \
 --max_duration_in_seconds="10" \
 --use_auth_token \
 --fp16 \

run_speech_recognition_ctc.py

@@ -524,7 +524,7 @@ def main():
     # load feature_extractor and tokenizer
     tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(
         tokenizer_name_or_path, 
-        use_auth_token=data_args.use_auth_token, eos_token=None, bos_token=None,
+        use_auth_token=data_args.use_auth_token,
         **tokenizer_kwargs,
     )
     feature_extractor = AutoFeatureExtractor.from_pretrained(
@@ -729,7 +729,7 @@ def main():
     kwargs = {
         "finetuned_from": model_args.model_name_or_path,
         "tasks": "speech-recognition",
-        "tags": ["automatic-speech-recognition", data_args.dataset_name],
+        "tags": ["automatic-speech-recognition", "robust-speech-event", data_args.dataset_name],
         "dataset_args": f"Config: {config_name}, Training split: {data_args.train_split_name}, Eval split: {data_args.eval_split_name}",
         "dataset": f"{data_args.dataset_name.upper()} - {config_name.upper()}",
     }

special_tokens_map.json

@@ -1 +0,0 @@
-{"bos_token": null, "eos_token": null, "unk_token": "[UNK]", "pad_token": "[PAD]"}

tokenizer_config.json

@@ -1 +0,0 @@
-{"unk_token": "[UNK]", "bos_token": null, "eos_token": null, "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "config": null, "tokenizer_type": "wav2vec2", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}

wandb/debug-internal.log

@@ -1 +1 @@
-run-20220129_215451-1vipdbow/logs/debug-internal.log
+run-20220130_175417-3n44neww/logs/debug-internal.log

wandb/debug.log

@@ -1 +1 @@
-run-20220129_215451-1vipdbow/logs/debug.log
+run-20220130_175417-3n44neww/logs/debug.log

wandb/latest-run

@@ -1 +1 @@
-run-20220129_215451-1vipdbow
+run-20220130_175417-3n44neww

wandb/run-20220130_163246-20w0bl60/files/config.yaml

@@ -0,0 +1,654 @@
+wandb_version: 1
+
+_n_gpu:
+  desc: null
+  value: 1
+_name_or_path:
+  desc: null
+  value: facebook/wav2vec2-xls-r-300m
+_wandb:
+  desc: null
+  value:
+    cli_version: 0.12.9
+    framework: huggingface
+    huggingface_version: 4.17.0.dev0
+    is_jupyter_run: false
+    is_kaggle_kernel: false
+    m:
+    - 1: train/global_step
+      6:
+      - 3
+    python_version: 3.8.8
+    start_time: 1643560367
+    t:
+      1:
+      - 1
+      - 5
+      - 11
+      2:
+      - 1
+      - 5
+      - 11
+      3:
+      - 1
+      - 7
+      - 13
+      4: 3.8.8
+      5: 0.12.9
+      6: 4.17.0.dev0
+      8:
+      - 5
+activation_dropout:
+  desc: null
+  value: 0.05
+adafactor:
+  desc: null
+  value: false
+adam_beta1:
+  desc: null
+  value: 0.9
+adam_beta2:
+  desc: null
+  value: 0.999
+adam_epsilon:
+  desc: null
+  value: 1.0e-08
+adapter_kernel_size:
+  desc: null
+  value: 3
+adapter_stride:
+  desc: null
+  value: 2
+add_adapter:
+  desc: null
+  value: false
+add_cross_attention:
+  desc: null
+  value: false
+apply_spec_augment:
+  desc: null
+  value: true
+architectures:
+  desc: null
+  value:
+  - Wav2Vec2ForPreTraining
+attention_dropout:
+  desc: null
+  value: 0.0
+bad_words_ids:
+  desc: null
+  value: null
+bf16:
+  desc: null
+  value: false
+bf16_full_eval:
+  desc: null
+  value: false
+bos_token_id:
+  desc: null
+  value: 1
+chunk_size_feed_forward:
+  desc: null
+  value: 0
+classifier_proj_size:
+  desc: null
+  value: 256
+codevector_dim:
+  desc: null
+  value: 768
+contrastive_logits_temperature:
+  desc: null
+  value: 0.1
+conv_bias:
+  desc: null
+  value: true
+conv_dim:
+  desc: null
+  value:
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+conv_kernel:
+  desc: null
+  value:
+  - 10
+  - 3
+  - 3
+  - 3
+  - 3
+  - 2
+  - 2
+conv_stride:
+  desc: null
+  value:
+  - 5
+  - 2
+  - 2
+  - 2
+  - 2
+  - 2
+  - 2
+cross_attention_hidden_size:
+  desc: null
+  value: null
+ctc_loss_reduction:
+  desc: null
+  value: mean
+ctc_zero_infinity:
+  desc: null
+  value: false
+dataloader_drop_last:
+  desc: null
+  value: false
+dataloader_num_workers:
+  desc: null
+  value: 0
+dataloader_pin_memory:
+  desc: null
+  value: true
+ddp_bucket_cap_mb:
+  desc: null
+  value: None
+ddp_find_unused_parameters:
+  desc: null
+  value: None
+debug:
+  desc: null
+  value: '[]'
+decoder_start_token_id:
+  desc: null
+  value: null
+deepspeed:
+  desc: null
+  value: None
+disable_tqdm:
+  desc: null
+  value: false
+diversity_loss_weight:
+  desc: null
+  value: 0.1
+diversity_penalty:
+  desc: null
+  value: 0.0
+do_eval:
+  desc: null
+  value: true
+do_predict:
+  desc: null
+  value: false
+do_sample:
+  desc: null
+  value: false
+do_stable_layer_norm:
+  desc: null
+  value: true
+do_train:
+  desc: null
+  value: true
+early_stopping:
+  desc: null
+  value: false
+encoder_no_repeat_ngram_size:
+  desc: null
+  value: 0
+eos_token_id:
+  desc: null
+  value: 2
+eval_accumulation_steps:
+  desc: null
+  value: None
+eval_batch_size:
+  desc: null
+  value: 64
+eval_steps:
+  desc: null
+  value: 500
+evaluation_strategy:
+  desc: null
+  value: steps
+feat_extract_activation:
+  desc: null
+  value: gelu
+feat_extract_dropout:
+  desc: null
+  value: 0.0
+feat_extract_norm:
+  desc: null
+  value: layer
+feat_proj_dropout:
+  desc: null
+  value: 0.0
+feat_quantizer_dropout:
+  desc: null
+  value: 0.0
+final_dropout:
+  desc: null
+  value: 0.0
+finetuning_task:
+  desc: null
+  value: null
+forced_bos_token_id:
+  desc: null
+  value: null
+forced_eos_token_id:
+  desc: null
+  value: null
+fp16:
+  desc: null
+  value: true
+fp16_backend:
+  desc: null
+  value: auto
+fp16_full_eval:
+  desc: null
+  value: false
+fp16_opt_level:
+  desc: null
+  value: O1
+gradient_accumulation_steps:
+  desc: null
+  value: 1
+gradient_checkpointing:
+  desc: null
+  value: true
+greater_is_better:
+  desc: null
+  value: false
+group_by_length:
+  desc: null
+  value: true
+half_precision_backend:
+  desc: null
+  value: amp
+hidden_act:
+  desc: null
+  value: gelu
+hidden_dropout:
+  desc: null
+  value: 0.0
+hidden_size:
+  desc: null
+  value: 1024
+hub_model_id:
+  desc: null
+  value: None
+hub_strategy:
+  desc: null
+  value: every_save
+hub_token:
+  desc: null
+  value: <HUB_TOKEN>
+id2label:
+  desc: null
+  value:
+    '0': LABEL_0
+    '1': LABEL_1
+ignore_data_skip:
+  desc: null
+  value: false
+initializer_range:
+  desc: null
+  value: 0.02
+intermediate_size:
+  desc: null
+  value: 4096
+is_decoder:
+  desc: null
+  value: false
+is_encoder_decoder:
+  desc: null
+  value: false
+label2id:
+  desc: null
+  value:
+    LABEL_0: 0
+    LABEL_1: 1
+label_names:
+  desc: null
+  value: None
+label_smoothing_factor:
+  desc: null
+  value: 0.0
+layer_norm_eps:
+  desc: null
+  value: 1.0e-05
+layerdrop:
+  desc: null
+  value: 0.0
+learning_rate:
+  desc: null
+  value: 0.0002
+length_column_name:
+  desc: null
+  value: input_length
+length_penalty:
+  desc: null
+  value: 1.0
+load_best_model_at_end:
+  desc: null
+  value: true
+local_rank:
+  desc: null
+  value: -1
+log_level:
+  desc: null
+  value: -1
+log_level_replica:
+  desc: null
+  value: -1
+log_on_each_node:
+  desc: null
+  value: true
+logging_dir:
+  desc: null
+  value: ./runs/Jan30_14-50-09_job-1abccd0a-3293-4ffe-8274-9e8f841f653f
+logging_first_step:
+  desc: null
+  value: false
+logging_nan_inf_filter:
+  desc: null
+  value: true
+logging_steps:
+  desc: null
+  value: 100
+logging_strategy:
+  desc: null
+  value: steps
+lr_scheduler_type:
+  desc: null
+  value: linear
+mask_feature_length:
+  desc: null
+  value: 10
+mask_feature_min_masks:
+  desc: null
+  value: 0
+mask_feature_prob:
+  desc: null
+  value: 0.25
+mask_time_length:
+  desc: null
+  value: 10
+mask_time_min_masks:
+  desc: null
+  value: 2
+mask_time_prob:
+  desc: null
+  value: 0.6
+max_grad_norm:
+  desc: null
+  value: 1.0
+max_length:
+  desc: null
+  value: 20
+max_steps:
+  desc: null
+  value: -1
+metric_for_best_model:
+  desc: null
+  value: loss
+min_length:
+  desc: null
+  value: 0
+model_type:
+  desc: null
+  value: wav2vec2
+mp_parameters:
+  desc: null
+  value: ''
+no_cuda:
+  desc: null
+  value: false
+no_repeat_ngram_size:
+  desc: null
+  value: 0
+num_adapter_layers:
+  desc: null
+  value: 3
+num_attention_heads:
+  desc: null
+  value: 16
+num_beam_groups:
+  desc: null
+  value: 1
+num_beams:
+  desc: null
+  value: 1
+num_codevector_groups:
+  desc: null
+  value: 2
+num_codevectors_per_group:
+  desc: null
+  value: 320
+num_conv_pos_embedding_groups:
+  desc: null
+  value: 16
+num_conv_pos_embeddings:
+  desc: null
+  value: 128
+num_feat_extract_layers:
+  desc: null
+  value: 7
+num_hidden_layers:
+  desc: null
+  value: 24
+num_negatives:
+  desc: null
+  value: 100
+num_return_sequences:
+  desc: null
+  value: 1
+num_train_epochs:
+  desc: null
+  value: 4.0
+optim:
+  desc: null
+  value: adamw_hf
+output_attentions:
+  desc: null
+  value: false
+output_dir:
+  desc: null
+  value: ./
+output_hidden_size:
+  desc: null
+  value: 1024
+output_hidden_states:
+  desc: null
+  value: false
+output_scores:
+  desc: null
+  value: false
+overwrite_output_dir:
+  desc: null
+  value: true
+pad_token_id:
+  desc: null
+  value: 216
+past_index:
+  desc: null
+  value: -1
+per_device_eval_batch_size:
+  desc: null
+  value: 64
+per_device_train_batch_size:
+  desc: null
+  value: 64
+per_gpu_eval_batch_size:
+  desc: null
+  value: None
+per_gpu_train_batch_size:
+  desc: null
+  value: None
+prediction_loss_only:
+  desc: null
+  value: false
+prefix:
+  desc: null
+  value: null
+problem_type:
+  desc: null
+  value: null
+proj_codevector_dim:
+  desc: null
+  value: 768
+pruned_heads:
+  desc: null
+  value: {}
+push_to_hub:
+  desc: null
+  value: true
+push_to_hub_model_id:
+  desc: null
+  value: None
+push_to_hub_organization:
+  desc: null
+  value: None
+push_to_hub_token:
+  desc: null
+  value: <PUSH_TO_HUB_TOKEN>
+remove_invalid_values:
+  desc: null
+  value: false
+remove_unused_columns:
+  desc: null
+  value: true
+repetition_penalty:
+  desc: null
+  value: 1.0
+report_to:
+  desc: null
+  value: '[''wandb'']'
+resume_from_checkpoint:
+  desc: null
+  value: None
+return_dict:
+  desc: null
+  value: true
+return_dict_in_generate:
+  desc: null
+  value: false
+run_name:
+  desc: null
+  value: xls-r-300m-fr
+save_on_each_node:
+  desc: null
+  value: false
+save_steps:
+  desc: null
+  value: 500
+save_strategy:
+  desc: null
+  value: steps
+save_total_limit:
+  desc: null
+  value: 2
+seed:
+  desc: null
+  value: 42
+sep_token_id:
+  desc: null
+  value: null
+sharded_ddp:
+  desc: null
+  value: '[]'
+skip_memory_metrics:
+  desc: null
+  value: true
+task_specific_params:
+  desc: null
+  value: null
+tdnn_dilation:
+  desc: null
+  value:
+  - 1
+  - 2
+  - 3
+  - 1
+  - 1
+tdnn_dim:
+  desc: null
+  value:
+  - 512
+  - 512
+  - 512
+  - 512
+  - 1500
+tdnn_kernel:
+  desc: null
+  value:
+  - 5
+  - 3
+  - 3
+  - 1
+  - 1
+temperature:
+  desc: null
+  value: 1.0
+tf32:
+  desc: null
+  value: None
+tie_encoder_decoder:
+  desc: null
+  value: false
+tie_word_embeddings:
+  desc: null
+  value: true
+tokenizer_class:
+  desc: null
+  value: null
+top_k:
+  desc: null
+  value: 50
+top_p:
+  desc: null
+  value: 1.0
+torch_dtype:
+  desc: null
+  value: float32
+torchscript:
+  desc: null
+  value: false
+tpu_metrics_debug:
+  desc: null
+  value: false
+tpu_num_cores:
+  desc: null
+  value: None
+train_batch_size:
+  desc: null
+  value: 64
+transformers_version:
+  desc: null
+  value: 4.17.0.dev0
+use_bfloat16:
+  desc: null
+  value: false
+use_legacy_prediction_loop:
+  desc: null
+  value: false
+use_weighted_layer_sum:
+  desc: null
+  value: false
+vocab_size:
+  desc: null
+  value: 216
+warmup_ratio:
+  desc: null
+  value: 0.0
+warmup_steps:
+  desc: null
+  value: 2500
+weight_decay:
+  desc: null
+  value: 0.0
+xpu_backend:
+  desc: null
+  value: None
+xvector_output_dim:
+  desc: null
+  value: 512

wandb/run-20220130_163246-20w0bl60/files/output.log

@@ -0,0 +1,19 @@
+
+  0%|                                                                                                                                                                                  | 0/27860 [00:00<?, ?it/s]Traceback (most recent call last):
+  File "run_speech_recognition_ctc.py", line 748, in <module>
+    main()
+  File "run_speech_recognition_ctc.py", line 699, in main
+    train_result = trainer.train(resume_from_checkpoint=checkpoint)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1373, in train
+    tr_loss_step = self.training_step(model, inputs)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1948, in training_step
+    loss = self.compute_loss(model, inputs)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1980, in compute_loss
+    outputs = model(**inputs)
+  File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/modeling_wav2vec2.py", line 1777, in forward
+    loss = nn.functional.ctc_loss(
+  File "/opt/conda/lib/python3.8/site-packages/torch/nn/functional.py", line 2460, in ctc_loss
+    return torch.ctc_loss(
+RuntimeError: blank must be in label range

wandb/run-20220130_163246-20w0bl60/files/requirements.txt

@@ -0,0 +1,180 @@
+aiohttp==3.8.1
+aiosignal==1.2.0
+analytics-python==1.4.0
+anyio==3.5.0
+appdirs==1.4.4
+argon2-cffi-bindings==21.2.0
+argon2-cffi==21.3.0
+asgiref==3.5.0
+asttokens==2.0.5
+async-timeout==4.0.2
+attrs==21.4.0
+audioread==2.1.9
+backcall==0.2.0
+backoff==1.10.0
+bcrypt==3.2.0
+beautifulsoup4==4.9.3
+black==21.12b0
+bleach==4.1.0
+brotlipy==0.7.0
+certifi==2020.12.5
+cffi==1.14.3
+chardet==3.0.4
+charset-normalizer==2.0.10
+click==8.0.3
+conda-build==3.21.4
+conda-package-handling==1.7.2
+conda==4.9.2
+configparser==5.2.0
+cryptography==3.2.1
+cycler==0.11.0
+datasets==1.18.2.dev0
+debugpy==1.5.1
+decorator==4.4.2
+defusedxml==0.7.1
+dill==0.3.4
+dnspython==2.1.0
+docker-pycreds==0.4.0
+entrypoints==0.3
+executing==0.8.2
+fastapi==0.73.0
+ffmpy==0.3.0
+filelock==3.0.12
+fonttools==4.29.0
+frozenlist==1.3.0
+fsspec==2022.1.0
+gitdb==4.0.9
+gitpython==3.1.26
+glob2==0.7
+gradio==2.7.5.2
+h11==0.13.0
+huggingface-hub==0.4.0
+idna==2.10
+importlib-resources==5.4.0
+ipykernel==6.7.0
+ipython-genutils==0.2.0
+ipython==8.0.1
+ipywidgets==7.6.3
+jedi==0.17.0
+jinja2==2.11.3
+jiwer==2.3.0
+joblib==1.1.0
+json5==0.9.6
+jsonschema==4.4.0
+jupyter-client==7.1.2
+jupyter-core==4.9.1
+jupyterlab-pygments==0.1.2
+jupyterlab-server==1.2.0
+jupyterlab-widgets==1.0.2
+jupyterlab==2.2.9
+kiwisolver==1.3.2
+libarchive-c==2.9
+librosa==0.8.1
+llvmlite==0.38.0
+markdown2==2.4.2
+markupsafe==1.1.1
+matplotlib-inline==0.1.3
+matplotlib==3.5.1
+mistune==0.8.4
+mkl-fft==1.3.0
+mkl-random==1.1.1
+mkl-service==2.3.0
+monotonic==1.6
+multidict==6.0.2
+multiprocess==0.70.12.2
+mypy-extensions==0.4.3
+nano==0.10.0
+nbclient==0.5.10
+nbconvert==6.4.1
+nbformat==5.1.3
+nest-asyncio==1.5.4
+notebook==6.4.8
+numba==0.55.1
+numpy==1.19.2
+olefile==0.46
+packaging==21.3
+pandas==1.4.0
+pandocfilters==1.5.0
+paramiko==2.9.2
+parso==0.8.1
+pathspec==0.9.0
+pathtools==0.1.2
+pexpect==4.8.0
+pickleshare==0.7.5
+pillow==8.1.2
+pip==21.3.1
+pkginfo==1.7.0
+platformdirs==2.4.1
+pooch==1.6.0
+prometheus-client==0.13.0
+promise==2.3
+prompt-toolkit==3.0.8
+protobuf==3.19.4
+psutil==5.8.0
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pyarrow==6.0.1
+pycosat==0.6.3
+pycparser==2.20
+pycryptodome==3.13.0
+pydantic==1.9.0
+pydub==0.25.1
+pygments==2.8.0
+pynacl==1.5.0
+pyopenssl==19.1.0
+pyparsing==3.0.7
+pyrsistent==0.18.1
+pysocks==1.7.1
+python-dateutil==2.8.2
+python-etcd==0.4.5
+python-levenshtein==0.12.2
+python-multipart==0.0.5
+pytz==2021.1
+pyyaml==5.4.1
+pyzmq==22.3.0
+regex==2022.1.18
+requests==2.24.0
+resampy==0.2.2
+ruamel-yaml==0.15.87
+sacremoses==0.0.47
+scikit-learn==1.0.2
+scipy==1.7.3
+send2trash==1.8.0
+sentry-sdk==1.5.4
+setuptools==50.3.1.post20201107
+shortuuid==1.0.8
+six==1.15.0
+smmap==5.0.0
+sniffio==1.2.0
+soundfile==0.10.3.post1
+soupsieve==2.2
+stack-data==0.1.4
+starlette==0.17.1
+subprocess32==3.5.4
+termcolor==1.1.0
+terminado==0.13.1
+testpath==0.5.0
+threadpoolctl==3.0.0
+tokenizers==0.11.4
+tomli==1.2.3
+torch==1.10.2
+torchaudio==0.10.2
+torchelastic==0.2.2
+torchtext==0.9.1
+torchvision==0.9.1
+tornado==6.1
+tqdm==4.62.3
+traitlets==5.1.1
+transformers==4.17.0.dev0
+typing-extensions==4.0.1
+urllib3==1.25.11
+uvicorn==0.17.1
+wandb==0.12.9
+wcwidth==0.2.5
+webencodings==0.5.1
+wheel==0.35.1
+widgetsnbextension==3.5.2
+xxhash==2.0.2
+yarl==1.7.2
+yaspin==2.1.0
+zipp==3.7.0

wandb/run-20220130_163246-20w0bl60/files/wandb-metadata.json

@@ -0,0 +1,65 @@
+{
+    "os": "Linux-4.15.0-151-generic-x86_64-with-glibc2.10",
+    "python": "3.8.8",
+    "heartbeatAt": "2022-01-30T16:32:48.885264",
+    "startedAt": "2022-01-30T16:32:46.431923",
+    "docker": null,
+    "gpu": "Tesla V100S-PCIE-32GB",
+    "gpu_count": 1,
+    "cpu_count": 60,
+    "cuda": null,
+    "args": [
+        "--dataset_name=mozilla-foundation/common_voice_8_0",
+        "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+        "--dataset_config_name=fr",
+        "--tokenizer_name_or_path=./",
+        "--output_dir=./",
+        "--overwrite_output_dir",
+        "--num_train_epochs=4",
+        "--per_device_train_batch_size=64",
+        "--per_device_eval_batch_size=64",
+        "--gradient_accumulation_steps=1",
+        "--learning_rate=2e-4",
+        "--warmup_steps=2500",
+        "--length_column_name=input_length",
+        "--evaluation_strategy=steps",
+        "--text_column_name=sentence",
+        "--save_steps=500",
+        "--eval_steps=500",
+        "--logging_steps=100",
+        "--layerdrop=0.0",
+        "--activation_dropout=0.05",
+        "--save_total_limit=2",
+        "--freeze_feature_encoder",
+        "--feat_proj_dropout=0.0",
+        "--mask_time_prob=0.6",
+        "--mask_time_length=10",
+        "--mask_feature_prob=0.25",
+        "--mask_feature_length=10",
+        "--gradient_checkpointing",
+        "--report_to=wandb",
+        "--run_name=xls-r-300m-fr",
+        "--max_eval_samples=6000",
+        "--max_duration_in_seconds=10",
+        "--use_auth_token",
+        "--fp16",
+        "--group_by_length",
+        "--preprocessing_num_workers=64",
+        "--do_train",
+        "--do_eval",
+        "--load_best_model_at_end",
+        "--push_to_hub"
+    ],
+    "state": "running",
+    "program": "run_speech_recognition_ctc.py",
+    "codePath": "run_speech_recognition_ctc.py",
+    "git": {
+        "remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
+        "commit": "9d07727def2251b0909520344156eb711ff096b9"
+    },
+    "email": "alexandrenap@hotmail.fr",
+    "root": "/workspace/xls-r-300m-fr",
+    "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+    "username": "ovh",
+    "executable": "/opt/conda/bin/python"
+}

wandb/run-20220130_163246-20w0bl60/files/wandb-summary.json

@@ -0,0 +1 @@
+{"_wandb": {"runtime": 7}}

wandb/run-20220130_163246-20w0bl60/logs/debug-internal.log

@@ -0,0 +1,147 @@
+2022-01-30 16:32:48,452 INFO    MainThread:52211 [internal.py:wandb_internal():87] W&B internal server running at pid: 52211, started at: 2022-01-30 16:32:48.452114
+2022-01-30 16:32:48,456 INFO    WriterThread:52211 [datastore.py:open_for_write():77] open: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/run-20w0bl60.wandb
+2022-01-30 16:32:48,457 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: check_version
+2022-01-30 16:32:48,460 DEBUG   SenderThread:52211 [sender.py:send():234] send: header
+2022-01-30 16:32:48,460 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: check_version
+2022-01-30 16:32:48,657 DEBUG   SenderThread:52211 [sender.py:send():234] send: run
+2022-01-30 16:32:48,873 INFO    SenderThread:52211 [dir_watcher.py:__init__():169] watching files in: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files
+2022-01-30 16:32:48,873 INFO    SenderThread:52211 [sender.py:_start_run_threads():804] run started: 20w0bl60 with start time 1643560367
+2022-01-30 16:32:48,873 DEBUG   SenderThread:52211 [sender.py:send():234] send: summary
+2022-01-30 16:32:48,874 INFO    SenderThread:52211 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-01-30 16:32:48,876 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: run_start
+2022-01-30 16:32:48,884 DEBUG   HandlerThread:52211 [meta.py:__init__():40] meta init
+2022-01-30 16:32:48,885 DEBUG   HandlerThread:52211 [meta.py:__init__():54] meta init done
+2022-01-30 16:32:48,885 DEBUG   HandlerThread:52211 [meta.py:probe():214] probe
+2022-01-30 16:32:48,894 DEBUG   HandlerThread:52211 [meta.py:_setup_git():204] setup git
+2022-01-30 16:32:48,923 DEBUG   HandlerThread:52211 [meta.py:_setup_git():211] setup git done
+2022-01-30 16:32:48,923 DEBUG   HandlerThread:52211 [meta.py:_save_pip():58] save pip
+2022-01-30 16:32:48,924 DEBUG   HandlerThread:52211 [meta.py:_save_pip():72] save pip done
+2022-01-30 16:32:48,924 DEBUG   HandlerThread:52211 [meta.py:_save_conda():79] save conda
+2022-01-30 16:32:49,449 DEBUG   HandlerThread:52211 [meta.py:_save_conda():89] save conda done
+2022-01-30 16:32:49,450 DEBUG   HandlerThread:52211 [meta.py:probe():252] probe done
+2022-01-30 16:32:49,458 DEBUG   SenderThread:52211 [sender.py:send():234] send: files
+2022-01-30 16:32:49,459 INFO    SenderThread:52211 [sender.py:_save_file():939] saving file wandb-metadata.json with policy now
+2022-01-30 16:32:49,475 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: stop_status
+2022-01-30 16:32:49,476 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: stop_status
+2022-01-30 16:32:49,635 DEBUG   SenderThread:52211 [sender.py:send():234] send: config
+2022-01-30 16:32:49,637 DEBUG   SenderThread:52211 [sender.py:send():234] send: metric
+2022-01-30 16:32:49,639 DEBUG   SenderThread:52211 [sender.py:send():234] send: metric
+2022-01-30 16:32:49,639 WARNING SenderThread:52211 [sender.py:send_metric():897] Seen metric with glob (shouldnt happen)
+2022-01-30 16:32:49,876 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/wandb-summary.json
+2022-01-30 16:32:49,877 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/output.log
+2022-01-30 16:32:49,877 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/wandb-metadata.json
+2022-01-30 16:32:49,878 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/requirements.txt
+2022-01-30 16:32:49,878 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/conda-environment.yaml
+2022-01-30 16:32:50,007 INFO    Thread-11 :52211 [upload_job.py:push():137] Uploaded file /tmp/tmphz4zp49fwandb/20m3u1mt-wandb-metadata.json
+2022-01-30 16:32:51,875 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/output.log
+2022-01-30 16:32:55,878 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/output.log
+2022-01-30 16:32:56,702 DEBUG   SenderThread:52211 [sender.py:send():234] send: telemetry
+2022-01-30 16:32:56,703 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:56,703 DEBUG   SenderThread:52211 [sender.py:send():234] send: exit
+2022-01-30 16:32:56,703 INFO    SenderThread:52211 [sender.py:send_exit():366] handling exit code: 1
+2022-01-30 16:32:56,704 INFO    SenderThread:52211 [sender.py:send_exit():368] handling runtime: 7
+2022-01-30 16:32:56,704 INFO    SenderThread:52211 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-01-30 16:32:56,705 INFO    SenderThread:52211 [sender.py:send_exit():374] send defer
+2022-01-30 16:32:56,705 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:56,706 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:56,707 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 0
+2022-01-30 16:32:56,707 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:56,707 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 0
+2022-01-30 16:32:56,707 INFO    SenderThread:52211 [sender.py:transition_state():387] send defer: 1
+2022-01-30 16:32:56,708 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:56,708 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 1
+2022-01-30 16:32:56,780 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:56,781 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 1
+2022-01-30 16:32:56,781 INFO    SenderThread:52211 [sender.py:transition_state():387] send defer: 2
+2022-01-30 16:32:56,781 DEBUG   SenderThread:52211 [sender.py:send():234] send: stats
+2022-01-30 16:32:56,782 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:56,782 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 2
+2022-01-30 16:32:56,783 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:56,783 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 2
+2022-01-30 16:32:56,783 INFO    SenderThread:52211 [sender.py:transition_state():387] send defer: 3
+2022-01-30 16:32:56,784 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:56,784 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 3
+2022-01-30 16:32:56,784 DEBUG   SenderThread:52211 [sender.py:send():234] send: summary
+2022-01-30 16:32:56,785 INFO    SenderThread:52211 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-01-30 16:32:56,785 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:56,785 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 3
+2022-01-30 16:32:56,785 INFO    SenderThread:52211 [sender.py:transition_state():387] send defer: 4
+2022-01-30 16:32:56,786 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:56,786 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 4
+2022-01-30 16:32:56,787 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:56,787 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 4
+2022-01-30 16:32:56,808 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:56,879 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/output.log
+2022-01-30 16:32:56,879 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/wandb-summary.json
+2022-01-30 16:32:57,074 INFO    SenderThread:52211 [sender.py:transition_state():387] send defer: 5
+2022-01-30 16:32:57,074 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:57,075 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:57,076 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 5
+2022-01-30 16:32:57,076 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:57,076 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 5
+2022-01-30 16:32:57,076 INFO    SenderThread:52211 [dir_watcher.py:finish():283] shutting down directory watcher
+2022-01-30 16:32:57,177 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:57,879 INFO    Thread-8  :52211 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/config.yaml
+2022-01-30 16:32:57,881 INFO    SenderThread:52211 [dir_watcher.py:finish():313] scan: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files
+2022-01-30 16:32:57,881 INFO    SenderThread:52211 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/output.log output.log
+2022-01-30 16:32:57,882 INFO    SenderThread:52211 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/wandb-metadata.json wandb-metadata.json
+2022-01-30 16:32:57,882 INFO    SenderThread:52211 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/config.yaml config.yaml
+2022-01-30 16:32:57,888 INFO    SenderThread:52211 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/conda-environment.yaml conda-environment.yaml
+2022-01-30 16:32:57,896 INFO    SenderThread:52211 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/wandb-summary.json wandb-summary.json
+2022-01-30 16:32:57,897 INFO    SenderThread:52211 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/requirements.txt requirements.txt
+2022-01-30 16:32:57,904 INFO    SenderThread:52211 [sender.py:transition_state():387] send defer: 6
+2022-01-30 16:32:57,905 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:57,907 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:57,912 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 6
+2022-01-30 16:32:57,913 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:57,915 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 6
+2022-01-30 16:32:57,915 INFO    SenderThread:52211 [file_pusher.py:finish():177] shutting down file pusher
+2022-01-30 16:32:58,007 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:58,008 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:58,111 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:58,111 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:58,214 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:58,214 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:58,317 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:58,318 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:58,419 INFO    Thread-13 :52211 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/config.yaml
+2022-01-30 16:32:58,424 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:58,427 INFO    Thread-12 :52211 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/output.log
+2022-01-30 16:32:58,428 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:58,471 INFO    Thread-15 :52211 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/requirements.txt
+2022-01-30 16:32:58,515 INFO    Thread-14 :52211 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/files/wandb-summary.json
+2022-01-30 16:32:58,531 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:58,532 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:58,634 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:58,634 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:58,716 INFO    Thread-7  :52211 [sender.py:transition_state():387] send defer: 7
+2022-01-30 16:32:58,717 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:58,717 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 7
+2022-01-30 16:32:58,718 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:58,718 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 7
+2022-01-30 16:32:58,736 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:58,862 INFO    SenderThread:52211 [sender.py:transition_state():387] send defer: 8
+2022-01-30 16:32:58,862 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:58,863 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:58,864 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 8
+2022-01-30 16:32:58,864 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:58,864 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 8
+2022-01-30 16:32:58,864 INFO    SenderThread:52211 [sender.py:transition_state():387] send defer: 9
+2022-01-30 16:32:58,866 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 16:32:58,866 DEBUG   SenderThread:52211 [sender.py:send():234] send: final
+2022-01-30 16:32:58,866 INFO    HandlerThread:52211 [handler.py:handle_request_defer():147] handle defer: 9
+2022-01-30 16:32:58,866 DEBUG   SenderThread:52211 [sender.py:send():234] send: footer
+2022-01-30 16:32:58,867 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: defer
+2022-01-30 16:32:58,867 INFO    SenderThread:52211 [sender.py:send_request_defer():383] handle sender defer: 9
+2022-01-30 16:32:58,965 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 16:32:58,966 DEBUG   SenderThread:52211 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 16:32:58,967 INFO    SenderThread:52211 [file_pusher.py:join():182] waiting for file pusher
+2022-01-30 16:32:59,277 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: get_summary
+2022-01-30 16:32:59,279 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: sampled_history
+2022-01-30 16:32:59,280 DEBUG   HandlerThread:52211 [handler.py:handle_request():130] handle_request: shutdown
+2022-01-30 16:32:59,280 INFO    HandlerThread:52211 [handler.py:finish():731] shutting down handler
+2022-01-30 16:32:59,866 INFO    WriterThread:52211 [datastore.py:close():281] close: /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/run-20w0bl60.wandb
+2022-01-30 16:33:00,275 INFO    SenderThread:52211 [sender.py:finish():1070] shutting down sender
+2022-01-30 16:33:00,275 INFO    SenderThread:52211 [file_pusher.py:finish():177] shutting down file pusher
+2022-01-30 16:33:00,275 INFO    SenderThread:52211 [file_pusher.py:join():182] waiting for file pusher
+2022-01-30 16:33:00,279 INFO    MainThread:52211 [internal.py:handle_exit():77] Internal process exited

wandb/run-20220130_163246-20w0bl60/logs/debug.log

@@ -0,0 +1,128 @@
+2022-01-30 16:32:46,436 INFO    MainThread:12552 [wandb_setup.py:_flush():71] setting env: {}
+2022-01-30 16:32:46,437 INFO    MainThread:12552 [wandb_setup.py:_flush():71] setting login settings: {}
+2022-01-30 16:32:46,437 INFO    MainThread:12552 [wandb_init.py:_log_setup():371] Logging user logs to /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/logs/debug.log
+2022-01-30 16:32:46,437 INFO    MainThread:12552 [wandb_init.py:_log_setup():372] Logging internal logs to /workspace/xls-r-300m-fr/wandb/run-20220130_163246-20w0bl60/logs/debug-internal.log
+2022-01-30 16:32:46,438 INFO    MainThread:12552 [wandb_init.py:init():404] calling init triggers
+2022-01-30 16:32:46,438 INFO    MainThread:12552 [wandb_init.py:init():409] wandb.init called with sweep_config: {}
+config: {}
+2022-01-30 16:32:46,438 INFO    MainThread:12552 [wandb_init.py:init():460] starting backend
+2022-01-30 16:32:46,438 INFO    MainThread:12552 [backend.py:_multiprocessing_setup():99] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
+2022-01-30 16:32:46,803 INFO    MainThread:12552 [backend.py:ensure_launched():216] starting backend process...
+2022-01-30 16:32:47,202 INFO    MainThread:12552 [backend.py:ensure_launched():221] started backend process with pid: 52211
+2022-01-30 16:32:47,205 INFO    MainThread:12552 [wandb_init.py:init():469] backend started and connected
+2022-01-30 16:32:47,215 INFO    MainThread:12552 [wandb_init.py:init():533] updated telemetry
+2022-01-30 16:32:48,051 INFO    MainThread:12552 [wandb_init.py:init():563] communicating current version
+2022-01-30 16:32:48,654 INFO    MainThread:12552 [wandb_init.py:init():568] got version response 
+2022-01-30 16:32:48,655 INFO    MainThread:12552 [wandb_init.py:init():578] communicating run to backend with 30 second timeout
+2022-01-30 16:32:48,875 INFO    MainThread:12552 [wandb_init.py:init():606] starting run threads in backend
+2022-01-30 16:32:49,475 INFO    MainThread:12552 [wandb_run.py:_console_start():1810] atexit reg
+2022-01-30 16:32:49,476 INFO    MainThread:12552 [wandb_run.py:_redirect():1684] redirect: SettingsConsole.REDIRECT
+2022-01-30 16:32:49,477 INFO    MainThread:12552 [wandb_run.py:_redirect():1689] Redirecting console.
+2022-01-30 16:32:49,483 INFO    MainThread:12552 [wandb_run.py:_redirect():1745] Redirects installed.
+2022-01-30 16:32:49,483 INFO    MainThread:12552 [wandb_init.py:init():633] run started, returning control to user process
+2022-01-30 16:32:49,485 INFO    MainThread:12552 [wandb_run.py:_config_callback():956] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 216, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.05, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 216, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.6, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.25, 'mask_feature_length': 10, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'mean', 'ctc_zero_infinity': False, 'add_adapter': False, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 64, 'per_device_eval_batch_size': 64, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': 'None', 'learning_rate': 0.0002, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 4.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 2500, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Jan30_14-50-09_job-1abccd0a-3293-4ffe-8274-9e8f841f653f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 100, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 2, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'xls-r-300m-fr', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'train_batch_size': 64, 'eval_batch_size': 64}
+2022-01-30 16:32:49,490 INFO    MainThread:12552 [wandb_watch.py:watch():43] Watching
+2022-01-30 16:32:54,620 INFO    MainThread:12552 [wandb_run.py:_atexit_cleanup():1780] got exitcode: 1
+2022-01-30 16:32:54,623 INFO    MainThread:12552 [wandb_run.py:_restore():1752] restore
+2022-01-30 16:32:56,707 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2180
+  total_bytes: 2180
+}
+
+2022-01-30 16:32:57,075 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2180
+  total_bytes: 2180
+}
+
+2022-01-30 16:32:57,906 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 4
+}
+pusher_stats {
+  uploaded_bytes: 2180
+  total_bytes: 12932
+}
+
+2022-01-30 16:32:58,009 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2180
+  total_bytes: 16065
+}
+
+2022-01-30 16:32:58,112 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 3508
+  total_bytes: 16065
+}
+
+2022-01-30 16:32:58,216 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16065
+  total_bytes: 16065
+}
+
+2022-01-30 16:32:58,319 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16065
+  total_bytes: 16065
+}
+
+2022-01-30 16:32:58,430 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16065
+  total_bytes: 16065
+}
+
+2022-01-30 16:32:58,533 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16065
+  total_bytes: 16065
+}
+
+2022-01-30 16:32:58,635 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16065
+  total_bytes: 16065
+}
+
+2022-01-30 16:32:58,864 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16065
+  total_bytes: 16065
+}
+
+2022-01-30 16:32:59,276 INFO    MainThread:12552 [wandb_run.py:_wait_for_finish():1912] got exit ret: done: true
+exit_result {
+}
+file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16065
+  total_bytes: 16065
+}
+local_info {
+}
+
+2022-01-30 16:33:00,418 INFO    MainThread:12552 [wandb_run.py:_append_files():2180] logging synced files

wandb/run-20220130_174749-kzuygp3o/files/config.yaml

@@ -0,0 +1,654 @@
+wandb_version: 1
+
+_n_gpu:
+  desc: null
+  value: 1
+_name_or_path:
+  desc: null
+  value: facebook/wav2vec2-xls-r-300m
+_wandb:
+  desc: null
+  value:
+    cli_version: 0.12.9
+    framework: huggingface
+    huggingface_version: 4.17.0.dev0
+    is_jupyter_run: false
+    is_kaggle_kernel: false
+    m:
+    - 1: train/global_step
+      6:
+      - 3
+    python_version: 3.8.8
+    start_time: 1643564869
+    t:
+      1:
+      - 1
+      - 5
+      - 11
+      2:
+      - 1
+      - 5
+      - 11
+      3:
+      - 1
+      - 7
+      - 13
+      4: 3.8.8
+      5: 0.12.9
+      6: 4.17.0.dev0
+      8:
+      - 5
+activation_dropout:
+  desc: null
+  value: 0.05
+adafactor:
+  desc: null
+  value: false
+adam_beta1:
+  desc: null
+  value: 0.9
+adam_beta2:
+  desc: null
+  value: 0.999
+adam_epsilon:
+  desc: null
+  value: 1.0e-08
+adapter_kernel_size:
+  desc: null
+  value: 3
+adapter_stride:
+  desc: null
+  value: 2
+add_adapter:
+  desc: null
+  value: false
+add_cross_attention:
+  desc: null
+  value: false
+apply_spec_augment:
+  desc: null
+  value: true
+architectures:
+  desc: null
+  value:
+  - Wav2Vec2ForPreTraining
+attention_dropout:
+  desc: null
+  value: 0.0
+bad_words_ids:
+  desc: null
+  value: null
+bf16:
+  desc: null
+  value: false
+bf16_full_eval:
+  desc: null
+  value: false
+bos_token_id:
+  desc: null
+  value: 1
+chunk_size_feed_forward:
+  desc: null
+  value: 0
+classifier_proj_size:
+  desc: null
+  value: 256
+codevector_dim:
+  desc: null
+  value: 768
+contrastive_logits_temperature:
+  desc: null
+  value: 0.1
+conv_bias:
+  desc: null
+  value: true
+conv_dim:
+  desc: null
+  value:
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+conv_kernel:
+  desc: null
+  value:
+  - 10
+  - 3
+  - 3
+  - 3
+  - 3
+  - 2
+  - 2
+conv_stride:
+  desc: null
+  value:
+  - 5
+  - 2
+  - 2
+  - 2
+  - 2
+  - 2
+  - 2
+cross_attention_hidden_size:
+  desc: null
+  value: null
+ctc_loss_reduction:
+  desc: null
+  value: mean
+ctc_zero_infinity:
+  desc: null
+  value: false
+dataloader_drop_last:
+  desc: null
+  value: false
+dataloader_num_workers:
+  desc: null
+  value: 0
+dataloader_pin_memory:
+  desc: null
+  value: true
+ddp_bucket_cap_mb:
+  desc: null
+  value: None
+ddp_find_unused_parameters:
+  desc: null
+  value: None
+debug:
+  desc: null
+  value: '[]'
+decoder_start_token_id:
+  desc: null
+  value: null
+deepspeed:
+  desc: null
+  value: None
+disable_tqdm:
+  desc: null
+  value: false
+diversity_loss_weight:
+  desc: null
+  value: 0.1
+diversity_penalty:
+  desc: null
+  value: 0.0
+do_eval:
+  desc: null
+  value: true
+do_predict:
+  desc: null
+  value: false
+do_sample:
+  desc: null
+  value: false
+do_stable_layer_norm:
+  desc: null
+  value: true
+do_train:
+  desc: null
+  value: true
+early_stopping:
+  desc: null
+  value: false
+encoder_no_repeat_ngram_size:
+  desc: null
+  value: 0
+eos_token_id:
+  desc: null
+  value: 2
+eval_accumulation_steps:
+  desc: null
+  value: None
+eval_batch_size:
+  desc: null
+  value: 64
+eval_steps:
+  desc: null
+  value: 500
+evaluation_strategy:
+  desc: null
+  value: steps
+feat_extract_activation:
+  desc: null
+  value: gelu
+feat_extract_dropout:
+  desc: null
+  value: 0.0
+feat_extract_norm:
+  desc: null
+  value: layer
+feat_proj_dropout:
+  desc: null
+  value: 0.0
+feat_quantizer_dropout:
+  desc: null
+  value: 0.0
+final_dropout:
+  desc: null
+  value: 0.0
+finetuning_task:
+  desc: null
+  value: null
+forced_bos_token_id:
+  desc: null
+  value: null
+forced_eos_token_id:
+  desc: null
+  value: null
+fp16:
+  desc: null
+  value: true
+fp16_backend:
+  desc: null
+  value: auto
+fp16_full_eval:
+  desc: null
+  value: false
+fp16_opt_level:
+  desc: null
+  value: O1
+gradient_accumulation_steps:
+  desc: null
+  value: 1
+gradient_checkpointing:
+  desc: null
+  value: true
+greater_is_better:
+  desc: null
+  value: false
+group_by_length:
+  desc: null
+  value: true
+half_precision_backend:
+  desc: null
+  value: amp
+hidden_act:
+  desc: null
+  value: gelu
+hidden_dropout:
+  desc: null
+  value: 0.0
+hidden_size:
+  desc: null
+  value: 1024
+hub_model_id:
+  desc: null
+  value: None
+hub_strategy:
+  desc: null
+  value: every_save
+hub_token:
+  desc: null
+  value: <HUB_TOKEN>
+id2label:
+  desc: null
+  value:
+    '0': LABEL_0
+    '1': LABEL_1
+ignore_data_skip:
+  desc: null
+  value: false
+initializer_range:
+  desc: null
+  value: 0.02
+intermediate_size:
+  desc: null
+  value: 4096
+is_decoder:
+  desc: null
+  value: false
+is_encoder_decoder:
+  desc: null
+  value: false
+label2id:
+  desc: null
+  value:
+    LABEL_0: 0
+    LABEL_1: 1
+label_names:
+  desc: null
+  value: None
+label_smoothing_factor:
+  desc: null
+  value: 0.0
+layer_norm_eps:
+  desc: null
+  value: 1.0e-05
+layerdrop:
+  desc: null
+  value: 0.0
+learning_rate:
+  desc: null
+  value: 0.0002
+length_column_name:
+  desc: null
+  value: input_length
+length_penalty:
+  desc: null
+  value: 1.0
+load_best_model_at_end:
+  desc: null
+  value: true
+local_rank:
+  desc: null
+  value: -1
+log_level:
+  desc: null
+  value: -1
+log_level_replica:
+  desc: null
+  value: -1
+log_on_each_node:
+  desc: null
+  value: true
+logging_dir:
+  desc: null
+  value: ./runs/Jan30_17-46-00_job-1abccd0a-3293-4ffe-8274-9e8f841f653f
+logging_first_step:
+  desc: null
+  value: false
+logging_nan_inf_filter:
+  desc: null
+  value: true
+logging_steps:
+  desc: null
+  value: 100
+logging_strategy:
+  desc: null
+  value: steps
+lr_scheduler_type:
+  desc: null
+  value: linear
+mask_feature_length:
+  desc: null
+  value: 10
+mask_feature_min_masks:
+  desc: null
+  value: 0
+mask_feature_prob:
+  desc: null
+  value: 0.25
+mask_time_length:
+  desc: null
+  value: 10
+mask_time_min_masks:
+  desc: null
+  value: 2
+mask_time_prob:
+  desc: null
+  value: 0.6
+max_grad_norm:
+  desc: null
+  value: 1.0
+max_length:
+  desc: null
+  value: 20
+max_steps:
+  desc: null
+  value: -1
+metric_for_best_model:
+  desc: null
+  value: loss
+min_length:
+  desc: null
+  value: 0
+model_type:
+  desc: null
+  value: wav2vec2
+mp_parameters:
+  desc: null
+  value: ''
+no_cuda:
+  desc: null
+  value: false
+no_repeat_ngram_size:
+  desc: null
+  value: 0
+num_adapter_layers:
+  desc: null
+  value: 3
+num_attention_heads:
+  desc: null
+  value: 16
+num_beam_groups:
+  desc: null
+  value: 1
+num_beams:
+  desc: null
+  value: 1
+num_codevector_groups:
+  desc: null
+  value: 2
+num_codevectors_per_group:
+  desc: null
+  value: 320
+num_conv_pos_embedding_groups:
+  desc: null
+  value: 16
+num_conv_pos_embeddings:
+  desc: null
+  value: 128
+num_feat_extract_layers:
+  desc: null
+  value: 7
+num_hidden_layers:
+  desc: null
+  value: 24
+num_negatives:
+  desc: null
+  value: 100
+num_return_sequences:
+  desc: null
+  value: 1
+num_train_epochs:
+  desc: null
+  value: 4.0
+optim:
+  desc: null
+  value: adamw_hf
+output_attentions:
+  desc: null
+  value: false
+output_dir:
+  desc: null
+  value: ./
+output_hidden_size:
+  desc: null
+  value: 1024
+output_hidden_states:
+  desc: null
+  value: false
+output_scores:
+  desc: null
+  value: false
+overwrite_output_dir:
+  desc: null
+  value: true
+pad_token_id:
+  desc: null
+  value: 216
+past_index:
+  desc: null
+  value: -1
+per_device_eval_batch_size:
+  desc: null
+  value: 64
+per_device_train_batch_size:
+  desc: null
+  value: 64
+per_gpu_eval_batch_size:
+  desc: null
+  value: None
+per_gpu_train_batch_size:
+  desc: null
+  value: None
+prediction_loss_only:
+  desc: null
+  value: false
+prefix:
+  desc: null
+  value: null
+problem_type:
+  desc: null
+  value: null
+proj_codevector_dim:
+  desc: null
+  value: 768
+pruned_heads:
+  desc: null
+  value: {}
+push_to_hub:
+  desc: null
+  value: true
+push_to_hub_model_id:
+  desc: null
+  value: None
+push_to_hub_organization:
+  desc: null
+  value: None
+push_to_hub_token:
+  desc: null
+  value: <PUSH_TO_HUB_TOKEN>
+remove_invalid_values:
+  desc: null
+  value: false
+remove_unused_columns:
+  desc: null
+  value: true
+repetition_penalty:
+  desc: null
+  value: 1.0
+report_to:
+  desc: null
+  value: '[''wandb'']'
+resume_from_checkpoint:
+  desc: null
+  value: None
+return_dict:
+  desc: null
+  value: true
+return_dict_in_generate:
+  desc: null
+  value: false
+run_name:
+  desc: null
+  value: xls-r-300m-fr
+save_on_each_node:
+  desc: null
+  value: false
+save_steps:
+  desc: null
+  value: 500
+save_strategy:
+  desc: null
+  value: steps
+save_total_limit:
+  desc: null
+  value: 2
+seed:
+  desc: null
+  value: 42
+sep_token_id:
+  desc: null
+  value: null
+sharded_ddp:
+  desc: null
+  value: '[]'
+skip_memory_metrics:
+  desc: null
+  value: true
+task_specific_params:
+  desc: null
+  value: null
+tdnn_dilation:
+  desc: null
+  value:
+  - 1
+  - 2
+  - 3
+  - 1
+  - 1
+tdnn_dim:
+  desc: null
+  value:
+  - 512
+  - 512
+  - 512
+  - 512
+  - 1500
+tdnn_kernel:
+  desc: null
+  value:
+  - 5
+  - 3
+  - 3
+  - 1
+  - 1
+temperature:
+  desc: null
+  value: 1.0
+tf32:
+  desc: null
+  value: None
+tie_encoder_decoder:
+  desc: null
+  value: false
+tie_word_embeddings:
+  desc: null
+  value: true
+tokenizer_class:
+  desc: null
+  value: null
+top_k:
+  desc: null
+  value: 50
+top_p:
+  desc: null
+  value: 1.0
+torch_dtype:
+  desc: null
+  value: float32
+torchscript:
+  desc: null
+  value: false
+tpu_metrics_debug:
+  desc: null
+  value: false
+tpu_num_cores:
+  desc: null
+  value: None
+train_batch_size:
+  desc: null
+  value: 64
+transformers_version:
+  desc: null
+  value: 4.17.0.dev0
+use_bfloat16:
+  desc: null
+  value: false
+use_legacy_prediction_loop:
+  desc: null
+  value: false
+use_weighted_layer_sum:
+  desc: null
+  value: false
+vocab_size:
+  desc: null
+  value: 216
+warmup_ratio:
+  desc: null
+  value: 0.0
+warmup_steps:
+  desc: null
+  value: 2500
+weight_decay:
+  desc: null
+  value: 0.0
+xpu_backend:
+  desc: null
+  value: None
+xvector_output_dim:
+  desc: null
+  value: 512

wandb/run-20220130_174749-kzuygp3o/files/output.log

@@ -0,0 +1,19 @@
+
+  0%|                                                                                                                                                                                     | 0/64 [00:00<?, ?it/s]Traceback (most recent call last):
+  File "run_speech_recognition_ctc.py", line 748, in <module>
+    main()
+  File "run_speech_recognition_ctc.py", line 699, in main
+    train_result = trainer.train(resume_from_checkpoint=checkpoint)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1373, in train
+    tr_loss_step = self.training_step(model, inputs)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1948, in training_step
+    loss = self.compute_loss(model, inputs)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1980, in compute_loss
+    outputs = model(**inputs)
+  File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/modeling_wav2vec2.py", line 1777, in forward
+    loss = nn.functional.ctc_loss(
+  File "/opt/conda/lib/python3.8/site-packages/torch/nn/functional.py", line 2460, in ctc_loss
+    return torch.ctc_loss(
+RuntimeError: blank must be in label range

wandb/run-20220130_174749-kzuygp3o/files/requirements.txt

@@ -0,0 +1,180 @@
+aiohttp==3.8.1
+aiosignal==1.2.0
+analytics-python==1.4.0
+anyio==3.5.0
+appdirs==1.4.4
+argon2-cffi-bindings==21.2.0
+argon2-cffi==21.3.0
+asgiref==3.5.0
+asttokens==2.0.5
+async-timeout==4.0.2
+attrs==21.4.0
+audioread==2.1.9
+backcall==0.2.0
+backoff==1.10.0
+bcrypt==3.2.0
+beautifulsoup4==4.9.3
+black==21.12b0
+bleach==4.1.0
+brotlipy==0.7.0
+certifi==2020.12.5
+cffi==1.14.3
+chardet==3.0.4
+charset-normalizer==2.0.10
+click==8.0.3
+conda-build==3.21.4
+conda-package-handling==1.7.2
+conda==4.9.2
+configparser==5.2.0
+cryptography==3.2.1
+cycler==0.11.0
+datasets==1.18.2.dev0
+debugpy==1.5.1
+decorator==4.4.2
+defusedxml==0.7.1
+dill==0.3.4
+dnspython==2.1.0
+docker-pycreds==0.4.0
+entrypoints==0.3
+executing==0.8.2
+fastapi==0.73.0
+ffmpy==0.3.0
+filelock==3.0.12
+fonttools==4.29.0
+frozenlist==1.3.0
+fsspec==2022.1.0
+gitdb==4.0.9
+gitpython==3.1.26
+glob2==0.7
+gradio==2.7.5.2
+h11==0.13.0
+huggingface-hub==0.4.0
+idna==2.10
+importlib-resources==5.4.0
+ipykernel==6.7.0
+ipython-genutils==0.2.0
+ipython==8.0.1
+ipywidgets==7.6.3
+jedi==0.17.0
+jinja2==2.11.3
+jiwer==2.3.0
+joblib==1.1.0
+json5==0.9.6
+jsonschema==4.4.0
+jupyter-client==7.1.2
+jupyter-core==4.9.1
+jupyterlab-pygments==0.1.2
+jupyterlab-server==1.2.0
+jupyterlab-widgets==1.0.2
+jupyterlab==2.2.9
+kiwisolver==1.3.2
+libarchive-c==2.9
+librosa==0.8.1
+llvmlite==0.38.0
+markdown2==2.4.2
+markupsafe==1.1.1
+matplotlib-inline==0.1.3
+matplotlib==3.5.1
+mistune==0.8.4
+mkl-fft==1.3.0
+mkl-random==1.1.1
+mkl-service==2.3.0
+monotonic==1.6
+multidict==6.0.2
+multiprocess==0.70.12.2
+mypy-extensions==0.4.3
+nano==0.10.0
+nbclient==0.5.10
+nbconvert==6.4.1
+nbformat==5.1.3
+nest-asyncio==1.5.4
+notebook==6.4.8
+numba==0.55.1
+numpy==1.19.2
+olefile==0.46
+packaging==21.3
+pandas==1.4.0
+pandocfilters==1.5.0
+paramiko==2.9.2
+parso==0.8.1
+pathspec==0.9.0
+pathtools==0.1.2
+pexpect==4.8.0
+pickleshare==0.7.5
+pillow==8.1.2
+pip==21.3.1
+pkginfo==1.7.0
+platformdirs==2.4.1
+pooch==1.6.0
+prometheus-client==0.13.0
+promise==2.3
+prompt-toolkit==3.0.8
+protobuf==3.19.4
+psutil==5.8.0
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pyarrow==6.0.1
+pycosat==0.6.3
+pycparser==2.20
+pycryptodome==3.13.0
+pydantic==1.9.0
+pydub==0.25.1
+pygments==2.8.0
+pynacl==1.5.0
+pyopenssl==19.1.0
+pyparsing==3.0.7
+pyrsistent==0.18.1
+pysocks==1.7.1
+python-dateutil==2.8.2
+python-etcd==0.4.5
+python-levenshtein==0.12.2
+python-multipart==0.0.5
+pytz==2021.1
+pyyaml==5.4.1
+pyzmq==22.3.0
+regex==2022.1.18
+requests==2.24.0
+resampy==0.2.2
+ruamel-yaml==0.15.87
+sacremoses==0.0.47
+scikit-learn==1.0.2
+scipy==1.7.3
+send2trash==1.8.0
+sentry-sdk==1.5.4
+setuptools==50.3.1.post20201107
+shortuuid==1.0.8
+six==1.15.0
+smmap==5.0.0
+sniffio==1.2.0
+soundfile==0.10.3.post1
+soupsieve==2.2
+stack-data==0.1.4
+starlette==0.17.1
+subprocess32==3.5.4
+termcolor==1.1.0
+terminado==0.13.1
+testpath==0.5.0
+threadpoolctl==3.0.0
+tokenizers==0.11.4
+tomli==1.2.3
+torch==1.10.2
+torchaudio==0.10.2
+torchelastic==0.2.2
+torchtext==0.9.1
+torchvision==0.9.1
+tornado==6.1
+tqdm==4.62.3
+traitlets==5.1.1
+transformers==4.17.0.dev0
+typing-extensions==4.0.1
+urllib3==1.25.11
+uvicorn==0.17.1
+wandb==0.12.9
+wcwidth==0.2.5
+webencodings==0.5.1
+wheel==0.35.1
+widgetsnbextension==3.5.2
+xxhash==2.0.2
+yarl==1.7.2
+yaspin==2.1.0
+zipp==3.7.0

wandb/run-20220130_174749-kzuygp3o/files/wandb-metadata.json

@@ -0,0 +1,66 @@
+{
+    "os": "Linux-4.15.0-151-generic-x86_64-with-glibc2.10",
+    "python": "3.8.8",
+    "heartbeatAt": "2022-01-30T17:47:50.968083",
+    "startedAt": "2022-01-30T17:47:49.159655",
+    "docker": null,
+    "gpu": "Tesla V100S-PCIE-32GB",
+    "gpu_count": 1,
+    "cpu_count": 60,
+    "cuda": null,
+    "args": [
+        "--dataset_name=mozilla-foundation/common_voice_8_0",
+        "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+        "--dataset_config_name=fr",
+        "--tokenizer_name_or_path=./",
+        "--output_dir=./",
+        "--overwrite_output_dir",
+        "--num_train_epochs=4",
+        "--per_device_train_batch_size=64",
+        "--per_device_eval_batch_size=64",
+        "--gradient_accumulation_steps=1",
+        "--learning_rate=2e-4",
+        "--warmup_steps=2500",
+        "--length_column_name=input_length",
+        "--evaluation_strategy=steps",
+        "--text_column_name=sentence",
+        "--save_steps=500",
+        "--eval_steps=500",
+        "--logging_steps=100",
+        "--layerdrop=0.0",
+        "--activation_dropout=0.05",
+        "--save_total_limit=2",
+        "--freeze_feature_encoder",
+        "--feat_proj_dropout=0.0",
+        "--mask_time_prob=0.6",
+        "--mask_time_length=10",
+        "--mask_feature_prob=0.25",
+        "--mask_feature_length=10",
+        "--gradient_checkpointing",
+        "--report_to=wandb",
+        "--run_name=xls-r-300m-fr",
+        "--max_train_samples=1000",
+        "--max_eval_samples=6000",
+        "--max_duration_in_seconds=10",
+        "--use_auth_token",
+        "--fp16",
+        "--group_by_length",
+        "--preprocessing_num_workers=64",
+        "--do_train",
+        "--do_eval",
+        "--load_best_model_at_end",
+        "--push_to_hub"
+    ],
+    "state": "running",
+    "program": "run_speech_recognition_ctc.py",
+    "codePath": "run_speech_recognition_ctc.py",
+    "git": {
+        "remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
+        "commit": "9d07727def2251b0909520344156eb711ff096b9"
+    },
+    "email": "alexandrenap@hotmail.fr",
+    "root": "/workspace/xls-r-300m-fr",
+    "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+    "username": "ovh",
+    "executable": "/opt/conda/bin/python"
+}

wandb/run-20220130_174749-kzuygp3o/files/wandb-summary.json

@@ -0,0 +1 @@
+{"_wandb": {"runtime": 6}}

wandb/run-20220130_174749-kzuygp3o/logs/debug-internal.log

@@ -0,0 +1,146 @@
+2022-01-30 17:47:50,131 INFO    MainThread:19599 [internal.py:wandb_internal():87] W&B internal server running at pid: 19599, started at: 2022-01-30 17:47:50.130774
+2022-01-30 17:47:50,135 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: check_version
+2022-01-30 17:47:50,135 INFO    WriterThread:19599 [datastore.py:open_for_write():77] open: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/run-kzuygp3o.wandb
+2022-01-30 17:47:50,139 DEBUG   SenderThread:19599 [sender.py:send():234] send: header
+2022-01-30 17:47:50,139 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: check_version
+2022-01-30 17:47:50,215 DEBUG   SenderThread:19599 [sender.py:send():234] send: run
+2022-01-30 17:47:50,957 INFO    SenderThread:19599 [dir_watcher.py:__init__():169] watching files in: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files
+2022-01-30 17:47:50,957 INFO    SenderThread:19599 [sender.py:_start_run_threads():804] run started: kzuygp3o with start time 1643564869
+2022-01-30 17:47:50,958 DEBUG   SenderThread:19599 [sender.py:send():234] send: summary
+2022-01-30 17:47:50,958 INFO    SenderThread:19599 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-01-30 17:47:50,959 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: run_start
+2022-01-30 17:47:50,967 DEBUG   HandlerThread:19599 [meta.py:__init__():40] meta init
+2022-01-30 17:47:50,967 DEBUG   HandlerThread:19599 [meta.py:__init__():54] meta init done
+2022-01-30 17:47:50,968 DEBUG   HandlerThread:19599 [meta.py:probe():214] probe
+2022-01-30 17:47:50,976 DEBUG   HandlerThread:19599 [meta.py:_setup_git():204] setup git
+2022-01-30 17:47:51,010 DEBUG   HandlerThread:19599 [meta.py:_setup_git():211] setup git done
+2022-01-30 17:47:51,010 DEBUG   HandlerThread:19599 [meta.py:_save_pip():58] save pip
+2022-01-30 17:47:51,011 DEBUG   HandlerThread:19599 [meta.py:_save_pip():72] save pip done
+2022-01-30 17:47:51,011 DEBUG   HandlerThread:19599 [meta.py:_save_conda():79] save conda
+2022-01-30 17:47:51,503 DEBUG   HandlerThread:19599 [meta.py:_save_conda():89] save conda done
+2022-01-30 17:47:51,503 DEBUG   HandlerThread:19599 [meta.py:probe():252] probe done
+2022-01-30 17:47:51,511 DEBUG   SenderThread:19599 [sender.py:send():234] send: files
+2022-01-30 17:47:51,511 INFO    SenderThread:19599 [sender.py:_save_file():939] saving file wandb-metadata.json with policy now
+2022-01-30 17:47:51,523 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: stop_status
+2022-01-30 17:47:51,524 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: stop_status
+2022-01-30 17:47:51,704 DEBUG   SenderThread:19599 [sender.py:send():234] send: config
+2022-01-30 17:47:51,706 DEBUG   SenderThread:19599 [sender.py:send():234] send: metric
+2022-01-30 17:47:51,707 DEBUG   SenderThread:19599 [sender.py:send():234] send: metric
+2022-01-30 17:47:51,707 WARNING SenderThread:19599 [sender.py:send_metric():897] Seen metric with glob (shouldnt happen)
+2022-01-30 17:47:51,961 INFO    Thread-8  :19599 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/wandb-metadata.json
+2022-01-30 17:47:51,961 INFO    Thread-8  :19599 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/requirements.txt
+2022-01-30 17:47:51,961 INFO    Thread-8  :19599 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/output.log
+2022-01-30 17:47:51,962 INFO    Thread-8  :19599 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/wandb-summary.json
+2022-01-30 17:47:51,962 INFO    Thread-8  :19599 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/conda-environment.yaml
+2022-01-30 17:47:52,037 INFO    Thread-11 :19599 [upload_job.py:push():137] Uploaded file /tmp/tmpl83m3xpuwandb/2em52v7y-wandb-metadata.json
+2022-01-30 17:47:53,959 INFO    Thread-8  :19599 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/output.log
+2022-01-30 17:47:57,751 DEBUG   SenderThread:19599 [sender.py:send():234] send: telemetry
+2022-01-30 17:47:57,752 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:57,752 DEBUG   SenderThread:19599 [sender.py:send():234] send: exit
+2022-01-30 17:47:57,753 INFO    SenderThread:19599 [sender.py:send_exit():366] handling exit code: 1
+2022-01-30 17:47:57,753 INFO    SenderThread:19599 [sender.py:send_exit():368] handling runtime: 6
+2022-01-30 17:47:57,754 INFO    SenderThread:19599 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-01-30 17:47:57,754 INFO    SenderThread:19599 [sender.py:send_exit():374] send defer
+2022-01-30 17:47:57,754 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:57,755 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:47:57,755 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 0
+2022-01-30 17:47:57,756 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:47:57,756 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 0
+2022-01-30 17:47:57,756 INFO    SenderThread:19599 [sender.py:transition_state():387] send defer: 1
+2022-01-30 17:47:57,757 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:47:57,757 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 1
+2022-01-30 17:47:57,792 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:47:57,793 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 1
+2022-01-30 17:47:57,793 INFO    SenderThread:19599 [sender.py:transition_state():387] send defer: 2
+2022-01-30 17:47:57,794 DEBUG   SenderThread:19599 [sender.py:send():234] send: stats
+2022-01-30 17:47:57,795 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:47:57,795 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 2
+2022-01-30 17:47:57,795 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:47:57,796 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 2
+2022-01-30 17:47:57,796 INFO    SenderThread:19599 [sender.py:transition_state():387] send defer: 3
+2022-01-30 17:47:57,796 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:47:57,797 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 3
+2022-01-30 17:47:57,797 DEBUG   SenderThread:19599 [sender.py:send():234] send: summary
+2022-01-30 17:47:57,798 INFO    SenderThread:19599 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-01-30 17:47:57,798 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:47:57,798 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 3
+2022-01-30 17:47:57,798 INFO    SenderThread:19599 [sender.py:transition_state():387] send defer: 4
+2022-01-30 17:47:57,799 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:47:57,799 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 4
+2022-01-30 17:47:57,799 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:47:57,799 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 4
+2022-01-30 17:47:57,857 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:57,962 INFO    Thread-8  :19599 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/wandb-summary.json
+2022-01-30 17:47:57,962 INFO    Thread-8  :19599 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/output.log
+2022-01-30 17:47:58,077 INFO    SenderThread:19599 [sender.py:transition_state():387] send defer: 5
+2022-01-30 17:47:58,077 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:58,078 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:47:58,079 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 5
+2022-01-30 17:47:58,079 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:47:58,079 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 5
+2022-01-30 17:47:58,079 INFO    SenderThread:19599 [dir_watcher.py:finish():283] shutting down directory watcher
+2022-01-30 17:47:58,180 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:58,962 INFO    Thread-8  :19599 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/config.yaml
+2022-01-30 17:47:58,964 INFO    SenderThread:19599 [dir_watcher.py:finish():313] scan: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files
+2022-01-30 17:47:58,965 INFO    SenderThread:19599 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/output.log output.log
+2022-01-30 17:47:58,965 INFO    SenderThread:19599 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/wandb-metadata.json wandb-metadata.json
+2022-01-30 17:47:58,966 INFO    SenderThread:19599 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/config.yaml config.yaml
+2022-01-30 17:47:58,970 INFO    SenderThread:19599 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/conda-environment.yaml conda-environment.yaml
+2022-01-30 17:47:58,977 INFO    SenderThread:19599 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/wandb-summary.json wandb-summary.json
+2022-01-30 17:47:58,978 INFO    SenderThread:19599 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/requirements.txt requirements.txt
+2022-01-30 17:47:58,985 INFO    SenderThread:19599 [sender.py:transition_state():387] send defer: 6
+2022-01-30 17:47:58,986 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:58,986 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:47:58,987 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 6
+2022-01-30 17:47:58,988 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:47:58,993 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 6
+2022-01-30 17:47:58,994 INFO    SenderThread:19599 [file_pusher.py:finish():177] shutting down file pusher
+2022-01-30 17:47:59,089 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:59,089 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:59,192 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:59,192 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:59,295 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:59,296 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:59,399 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:59,399 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:59,490 INFO    Thread-14 :19599 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/wandb-summary.json
+2022-01-30 17:47:59,495 INFO    Thread-15 :19599 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/requirements.txt
+2022-01-30 17:47:59,502 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:59,502 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:59,513 INFO    Thread-12 :19599 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/output.log
+2022-01-30 17:47:59,591 INFO    Thread-13 :19599 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/files/config.yaml
+2022-01-30 17:47:59,604 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:59,605 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:59,707 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:47:59,707 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:47:59,793 INFO    Thread-7  :19599 [sender.py:transition_state():387] send defer: 7
+2022-01-30 17:47:59,794 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:47:59,794 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 7
+2022-01-30 17:47:59,794 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:47:59,794 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 7
+2022-01-30 17:47:59,809 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:48:00,234 INFO    SenderThread:19599 [sender.py:transition_state():387] send defer: 8
+2022-01-30 17:48:00,235 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:48:00,236 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:48:00,236 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 8
+2022-01-30 17:48:00,237 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:48:00,237 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 8
+2022-01-30 17:48:00,237 INFO    SenderThread:19599 [sender.py:transition_state():387] send defer: 9
+2022-01-30 17:48:00,238 DEBUG   SenderThread:19599 [sender.py:send():234] send: final
+2022-01-30 17:48:00,238 DEBUG   SenderThread:19599 [sender.py:send():234] send: footer
+2022-01-30 17:48:00,239 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:48:00,239 INFO    HandlerThread:19599 [handler.py:handle_request_defer():147] handle defer: 9
+2022-01-30 17:48:00,239 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:48:00,239 INFO    SenderThread:19599 [sender.py:send_request_defer():383] handle sender defer: 9
+2022-01-30 17:48:00,338 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:48:00,338 DEBUG   SenderThread:19599 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:48:00,338 INFO    SenderThread:19599 [file_pusher.py:join():182] waiting for file pusher
+2022-01-30 17:48:00,657 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: get_summary
+2022-01-30 17:48:00,659 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: sampled_history
+2022-01-30 17:48:00,660 DEBUG   HandlerThread:19599 [handler.py:handle_request():130] handle_request: shutdown
+2022-01-30 17:48:00,660 INFO    HandlerThread:19599 [handler.py:finish():731] shutting down handler
+2022-01-30 17:48:01,238 INFO    WriterThread:19599 [datastore.py:close():281] close: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/run-kzuygp3o.wandb
+2022-01-30 17:48:01,655 INFO    SenderThread:19599 [sender.py:finish():1070] shutting down sender
+2022-01-30 17:48:01,655 INFO    SenderThread:19599 [file_pusher.py:finish():177] shutting down file pusher
+2022-01-30 17:48:01,655 INFO    SenderThread:19599 [file_pusher.py:join():182] waiting for file pusher
+2022-01-30 17:48:01,659 INFO    MainThread:19599 [internal.py:handle_exit():77] Internal process exited

wandb/run-20220130_174749-kzuygp3o/logs/debug.log

@@ -0,0 +1,128 @@
+2022-01-30 17:47:49,163 INFO    MainThread:18676 [wandb_setup.py:_flush():71] setting env: {}
+2022-01-30 17:47:49,164 INFO    MainThread:18676 [wandb_setup.py:_flush():71] setting login settings: {}
+2022-01-30 17:47:49,164 INFO    MainThread:18676 [wandb_init.py:_log_setup():371] Logging user logs to /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/logs/debug.log
+2022-01-30 17:47:49,164 INFO    MainThread:18676 [wandb_init.py:_log_setup():372] Logging internal logs to /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/logs/debug-internal.log
+2022-01-30 17:47:49,164 INFO    MainThread:18676 [wandb_init.py:init():404] calling init triggers
+2022-01-30 17:47:49,165 INFO    MainThread:18676 [wandb_init.py:init():409] wandb.init called with sweep_config: {}
+config: {}
+2022-01-30 17:47:49,165 INFO    MainThread:18676 [wandb_init.py:init():460] starting backend
+2022-01-30 17:47:49,165 INFO    MainThread:18676 [backend.py:_multiprocessing_setup():99] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
+2022-01-30 17:47:49,246 INFO    MainThread:18676 [backend.py:ensure_launched():216] starting backend process...
+2022-01-30 17:47:49,320 INFO    MainThread:18676 [backend.py:ensure_launched():221] started backend process with pid: 19599
+2022-01-30 17:47:49,323 INFO    MainThread:18676 [wandb_init.py:init():469] backend started and connected
+2022-01-30 17:47:49,332 INFO    MainThread:18676 [wandb_init.py:init():533] updated telemetry
+2022-01-30 17:47:49,493 INFO    MainThread:18676 [wandb_init.py:init():563] communicating current version
+2022-01-30 17:47:50,213 INFO    MainThread:18676 [wandb_init.py:init():568] got version response 
+2022-01-30 17:47:50,213 INFO    MainThread:18676 [wandb_init.py:init():578] communicating run to backend with 30 second timeout
+2022-01-30 17:47:50,958 INFO    MainThread:18676 [wandb_init.py:init():606] starting run threads in backend
+2022-01-30 17:47:51,522 INFO    MainThread:18676 [wandb_run.py:_console_start():1810] atexit reg
+2022-01-30 17:47:51,523 INFO    MainThread:18676 [wandb_run.py:_redirect():1684] redirect: SettingsConsole.REDIRECT
+2022-01-30 17:47:51,524 INFO    MainThread:18676 [wandb_run.py:_redirect():1689] Redirecting console.
+2022-01-30 17:47:51,530 INFO    MainThread:18676 [wandb_run.py:_redirect():1745] Redirects installed.
+2022-01-30 17:47:51,530 INFO    MainThread:18676 [wandb_init.py:init():633] run started, returning control to user process
+2022-01-30 17:47:51,533 INFO    MainThread:18676 [wandb_run.py:_config_callback():956] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 216, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.05, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 216, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.6, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.25, 'mask_feature_length': 10, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'mean', 'ctc_zero_infinity': False, 'add_adapter': False, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 64, 'per_device_eval_batch_size': 64, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': 'None', 'learning_rate': 0.0002, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 4.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 2500, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Jan30_17-46-00_job-1abccd0a-3293-4ffe-8274-9e8f841f653f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 100, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 2, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'xls-r-300m-fr', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'train_batch_size': 64, 'eval_batch_size': 64}
+2022-01-30 17:47:51,536 INFO    MainThread:18676 [wandb_watch.py:watch():43] Watching
+2022-01-30 17:47:55,376 INFO    MainThread:18676 [wandb_run.py:_atexit_cleanup():1780] got exitcode: 1
+2022-01-30 17:47:55,378 INFO    MainThread:18676 [wandb_run.py:_restore():1752] restore
+2022-01-30 17:47:57,755 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2216
+  total_bytes: 2216
+}
+
+2022-01-30 17:47:58,079 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2216
+  total_bytes: 2216
+}
+
+2022-01-30 17:47:58,987 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2216
+  total_bytes: 16101
+}
+
+2022-01-30 17:47:59,090 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2216
+  total_bytes: 16101
+}
+
+2022-01-30 17:47:59,194 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 3544
+  total_bytes: 16101
+}
+
+2022-01-30 17:47:59,297 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16101
+  total_bytes: 16101
+}
+
+2022-01-30 17:47:59,400 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16101
+  total_bytes: 16101
+}
+
+2022-01-30 17:47:59,503 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16101
+  total_bytes: 16101
+}
+
+2022-01-30 17:47:59,605 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16101
+  total_bytes: 16101
+}
+
+2022-01-30 17:47:59,708 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16101
+  total_bytes: 16101
+}
+
+2022-01-30 17:48:00,236 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16101
+  total_bytes: 16101
+}
+
+2022-01-30 17:48:00,656 INFO    MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: done: true
+exit_result {
+}
+file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16101
+  total_bytes: 16101
+}
+local_info {
+}
+
+2022-01-30 17:48:01,823 INFO    MainThread:18676 [wandb_run.py:_append_files():2180] logging synced files

wandb/run-20220130_175135-mz3dbiz4/files/config.yaml

@@ -0,0 +1,654 @@
+wandb_version: 1
+
+_n_gpu:
+  desc: null
+  value: 1
+_name_or_path:
+  desc: null
+  value: facebook/wav2vec2-xls-r-300m
+_wandb:
+  desc: null
+  value:
+    cli_version: 0.12.9
+    framework: huggingface
+    huggingface_version: 4.17.0.dev0
+    is_jupyter_run: false
+    is_kaggle_kernel: false
+    m:
+    - 1: train/global_step
+      6:
+      - 3
+    python_version: 3.8.8
+    start_time: 1643565096
+    t:
+      1:
+      - 1
+      - 5
+      - 11
+      2:
+      - 1
+      - 5
+      - 11
+      3:
+      - 1
+      - 7
+      - 13
+      4: 3.8.8
+      5: 0.12.9
+      6: 4.17.0.dev0
+      8:
+      - 5
+activation_dropout:
+  desc: null
+  value: 0.05
+adafactor:
+  desc: null
+  value: false
+adam_beta1:
+  desc: null
+  value: 0.9
+adam_beta2:
+  desc: null
+  value: 0.999
+adam_epsilon:
+  desc: null
+  value: 1.0e-08
+adapter_kernel_size:
+  desc: null
+  value: 3
+adapter_stride:
+  desc: null
+  value: 2
+add_adapter:
+  desc: null
+  value: false
+add_cross_attention:
+  desc: null
+  value: false
+apply_spec_augment:
+  desc: null
+  value: true
+architectures:
+  desc: null
+  value:
+  - Wav2Vec2ForPreTraining
+attention_dropout:
+  desc: null
+  value: 0.0
+bad_words_ids:
+  desc: null
+  value: null
+bf16:
+  desc: null
+  value: false
+bf16_full_eval:
+  desc: null
+  value: false
+bos_token_id:
+  desc: null
+  value: 1
+chunk_size_feed_forward:
+  desc: null
+  value: 0
+classifier_proj_size:
+  desc: null
+  value: 256
+codevector_dim:
+  desc: null
+  value: 768
+contrastive_logits_temperature:
+  desc: null
+  value: 0.1
+conv_bias:
+  desc: null
+  value: true
+conv_dim:
+  desc: null
+  value:
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+conv_kernel:
+  desc: null
+  value:
+  - 10
+  - 3
+  - 3
+  - 3
+  - 3
+  - 2
+  - 2
+conv_stride:
+  desc: null
+  value:
+  - 5
+  - 2
+  - 2
+  - 2
+  - 2
+  - 2
+  - 2
+cross_attention_hidden_size:
+  desc: null
+  value: null
+ctc_loss_reduction:
+  desc: null
+  value: mean
+ctc_zero_infinity:
+  desc: null
+  value: false
+dataloader_drop_last:
+  desc: null
+  value: false
+dataloader_num_workers:
+  desc: null
+  value: 0
+dataloader_pin_memory:
+  desc: null
+  value: true
+ddp_bucket_cap_mb:
+  desc: null
+  value: None
+ddp_find_unused_parameters:
+  desc: null
+  value: None
+debug:
+  desc: null
+  value: '[]'
+decoder_start_token_id:
+  desc: null
+  value: null
+deepspeed:
+  desc: null
+  value: None
+disable_tqdm:
+  desc: null
+  value: false
+diversity_loss_weight:
+  desc: null
+  value: 0.1
+diversity_penalty:
+  desc: null
+  value: 0.0
+do_eval:
+  desc: null
+  value: true
+do_predict:
+  desc: null
+  value: false
+do_sample:
+  desc: null
+  value: false
+do_stable_layer_norm:
+  desc: null
+  value: true
+do_train:
+  desc: null
+  value: true
+early_stopping:
+  desc: null
+  value: false
+encoder_no_repeat_ngram_size:
+  desc: null
+  value: 0
+eos_token_id:
+  desc: null
+  value: 2
+eval_accumulation_steps:
+  desc: null
+  value: None
+eval_batch_size:
+  desc: null
+  value: 64
+eval_steps:
+  desc: null
+  value: 500
+evaluation_strategy:
+  desc: null
+  value: steps
+feat_extract_activation:
+  desc: null
+  value: gelu
+feat_extract_dropout:
+  desc: null
+  value: 0.0
+feat_extract_norm:
+  desc: null
+  value: layer
+feat_proj_dropout:
+  desc: null
+  value: 0.0
+feat_quantizer_dropout:
+  desc: null
+  value: 0.0
+final_dropout:
+  desc: null
+  value: 0.0
+finetuning_task:
+  desc: null
+  value: null
+forced_bos_token_id:
+  desc: null
+  value: null
+forced_eos_token_id:
+  desc: null
+  value: null
+fp16:
+  desc: null
+  value: true
+fp16_backend:
+  desc: null
+  value: auto
+fp16_full_eval:
+  desc: null
+  value: false
+fp16_opt_level:
+  desc: null
+  value: O1
+gradient_accumulation_steps:
+  desc: null
+  value: 1
+gradient_checkpointing:
+  desc: null
+  value: true
+greater_is_better:
+  desc: null
+  value: false
+group_by_length:
+  desc: null
+  value: true
+half_precision_backend:
+  desc: null
+  value: amp
+hidden_act:
+  desc: null
+  value: gelu
+hidden_dropout:
+  desc: null
+  value: 0.0
+hidden_size:
+  desc: null
+  value: 1024
+hub_model_id:
+  desc: null
+  value: None
+hub_strategy:
+  desc: null
+  value: every_save
+hub_token:
+  desc: null
+  value: <HUB_TOKEN>
+id2label:
+  desc: null
+  value:
+    '0': LABEL_0
+    '1': LABEL_1
+ignore_data_skip:
+  desc: null
+  value: false
+initializer_range:
+  desc: null
+  value: 0.02
+intermediate_size:
+  desc: null
+  value: 4096
+is_decoder:
+  desc: null
+  value: false
+is_encoder_decoder:
+  desc: null
+  value: false
+label2id:
+  desc: null
+  value:
+    LABEL_0: 0
+    LABEL_1: 1
+label_names:
+  desc: null
+  value: None
+label_smoothing_factor:
+  desc: null
+  value: 0.0
+layer_norm_eps:
+  desc: null
+  value: 1.0e-05
+layerdrop:
+  desc: null
+  value: 0.0
+learning_rate:
+  desc: null
+  value: 0.0002
+length_column_name:
+  desc: null
+  value: input_length
+length_penalty:
+  desc: null
+  value: 1.0
+load_best_model_at_end:
+  desc: null
+  value: true
+local_rank:
+  desc: null
+  value: -1
+log_level:
+  desc: null
+  value: -1
+log_level_replica:
+  desc: null
+  value: -1
+log_on_each_node:
+  desc: null
+  value: true
+logging_dir:
+  desc: null
+  value: ./runs/Jan30_17-50-54_job-1abccd0a-3293-4ffe-8274-9e8f841f653f
+logging_first_step:
+  desc: null
+  value: false
+logging_nan_inf_filter:
+  desc: null
+  value: true
+logging_steps:
+  desc: null
+  value: 100
+logging_strategy:
+  desc: null
+  value: steps
+lr_scheduler_type:
+  desc: null
+  value: linear
+mask_feature_length:
+  desc: null
+  value: 10
+mask_feature_min_masks:
+  desc: null
+  value: 0
+mask_feature_prob:
+  desc: null
+  value: 0.25
+mask_time_length:
+  desc: null
+  value: 10
+mask_time_min_masks:
+  desc: null
+  value: 2
+mask_time_prob:
+  desc: null
+  value: 0.6
+max_grad_norm:
+  desc: null
+  value: 1.0
+max_length:
+  desc: null
+  value: 20
+max_steps:
+  desc: null
+  value: -1
+metric_for_best_model:
+  desc: null
+  value: loss
+min_length:
+  desc: null
+  value: 0
+model_type:
+  desc: null
+  value: wav2vec2
+mp_parameters:
+  desc: null
+  value: ''
+no_cuda:
+  desc: null
+  value: false
+no_repeat_ngram_size:
+  desc: null
+  value: 0
+num_adapter_layers:
+  desc: null
+  value: 3
+num_attention_heads:
+  desc: null
+  value: 16
+num_beam_groups:
+  desc: null
+  value: 1
+num_beams:
+  desc: null
+  value: 1
+num_codevector_groups:
+  desc: null
+  value: 2
+num_codevectors_per_group:
+  desc: null
+  value: 320
+num_conv_pos_embedding_groups:
+  desc: null
+  value: 16
+num_conv_pos_embeddings:
+  desc: null
+  value: 128
+num_feat_extract_layers:
+  desc: null
+  value: 7
+num_hidden_layers:
+  desc: null
+  value: 24
+num_negatives:
+  desc: null
+  value: 100
+num_return_sequences:
+  desc: null
+  value: 1
+num_train_epochs:
+  desc: null
+  value: 4.0
+optim:
+  desc: null
+  value: adamw_hf
+output_attentions:
+  desc: null
+  value: false
+output_dir:
+  desc: null
+  value: ./
+output_hidden_size:
+  desc: null
+  value: 1024
+output_hidden_states:
+  desc: null
+  value: false
+output_scores:
+  desc: null
+  value: false
+overwrite_output_dir:
+  desc: null
+  value: true
+pad_token_id:
+  desc: null
+  value: 218
+past_index:
+  desc: null
+  value: -1
+per_device_eval_batch_size:
+  desc: null
+  value: 64
+per_device_train_batch_size:
+  desc: null
+  value: 64
+per_gpu_eval_batch_size:
+  desc: null
+  value: None
+per_gpu_train_batch_size:
+  desc: null
+  value: None
+prediction_loss_only:
+  desc: null
+  value: false
+prefix:
+  desc: null
+  value: null
+problem_type:
+  desc: null
+  value: null
+proj_codevector_dim:
+  desc: null
+  value: 768
+pruned_heads:
+  desc: null
+  value: {}
+push_to_hub:
+  desc: null
+  value: true
+push_to_hub_model_id:
+  desc: null
+  value: None
+push_to_hub_organization:
+  desc: null
+  value: None
+push_to_hub_token:
+  desc: null
+  value: <PUSH_TO_HUB_TOKEN>
+remove_invalid_values:
+  desc: null
+  value: false
+remove_unused_columns:
+  desc: null
+  value: true
+repetition_penalty:
+  desc: null
+  value: 1.0
+report_to:
+  desc: null
+  value: '[''wandb'']'
+resume_from_checkpoint:
+  desc: null
+  value: None
+return_dict:
+  desc: null
+  value: true
+return_dict_in_generate:
+  desc: null
+  value: false
+run_name:
+  desc: null
+  value: xls-r-300m-fr
+save_on_each_node:
+  desc: null
+  value: false
+save_steps:
+  desc: null
+  value: 500
+save_strategy:
+  desc: null
+  value: steps
+save_total_limit:
+  desc: null
+  value: 2
+seed:
+  desc: null
+  value: 42
+sep_token_id:
+  desc: null
+  value: null
+sharded_ddp:
+  desc: null
+  value: '[]'
+skip_memory_metrics:
+  desc: null
+  value: true
+task_specific_params:
+  desc: null
+  value: null
+tdnn_dilation:
+  desc: null
+  value:
+  - 1
+  - 2
+  - 3
+  - 1
+  - 1
+tdnn_dim:
+  desc: null
+  value:
+  - 512
+  - 512
+  - 512
+  - 512
+  - 1500
+tdnn_kernel:
+  desc: null
+  value:
+  - 5
+  - 3
+  - 3
+  - 1
+  - 1
+temperature:
+  desc: null
+  value: 1.0
+tf32:
+  desc: null
+  value: None
+tie_encoder_decoder:
+  desc: null
+  value: false
+tie_word_embeddings:
+  desc: null
+  value: true
+tokenizer_class:
+  desc: null
+  value: null
+top_k:
+  desc: null
+  value: 50
+top_p:
+  desc: null
+  value: 1.0
+torch_dtype:
+  desc: null
+  value: float32
+torchscript:
+  desc: null
+  value: false
+tpu_metrics_debug:
+  desc: null
+  value: false
+tpu_num_cores:
+  desc: null
+  value: None
+train_batch_size:
+  desc: null
+  value: 64
+transformers_version:
+  desc: null
+  value: 4.17.0.dev0
+use_bfloat16:
+  desc: null
+  value: false
+use_legacy_prediction_loop:
+  desc: null
+  value: false
+use_weighted_layer_sum:
+  desc: null
+  value: false
+vocab_size:
+  desc: null
+  value: 219
+warmup_ratio:
+  desc: null
+  value: 0.0
+warmup_steps:
+  desc: null
+  value: 2500
+weight_decay:
+  desc: null
+  value: 0.0
+xpu_backend:
+  desc: null
+  value: None
+xvector_output_dim:
+  desc: null
+  value: 512

wandb/run-20220130_175135-mz3dbiz4/files/output.log

@@ -0,0 +1,56 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ 45%|█████████████████████████████████████████████████████████████████████████████▉                                                                                              | 29/64 [01:44<02:10,  3.72s/it]Traceback (most recent call last):
+  File "run_speech_recognition_ctc.py", line 749, in <module>
+    main()
+  File "run_speech_recognition_ctc.py", line 700, in main
+    train_result = trainer.train(resume_from_checkpoint=checkpoint)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1347, in train
+    for step, inputs in enumerate(epoch_iterator):
+  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in __next__
+    data = self._next_data()
+  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 561, in _next_data
+    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
+  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
+    return self.collate_fn(data)
+  File "run_speech_recognition_ctc.py", line 282, in __call__
+    batch = self.processor.pad(
+  File "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/processing_wav2vec2.py", line 147, in pad
+    return self.current_processor.pad(*args, **kwargs)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/feature_extraction_sequence_utils.py", line 217, in pad
+    outputs = self._pad(
+  File "/opt/conda/lib/python3.8/site-packages/transformers/feature_extraction_sequence_utils.py", line 286, in _pad
+    processed_features[self.model_input_names[0]] = np.pad(
+  File "<__array_function__ internals>", line 5, in pad
+  File "/opt/conda/lib/python3.8/site-packages/numpy/lib/arraypad.py", line 796, in pad
+    padded, original_area_slice = _pad_simple(array, pad_width)
+  File "/opt/conda/lib/python3.8/site-packages/numpy/lib/arraypad.py", line 124, in _pad_simple
+    padded[original_area_slice] = array
+KeyboardInterrupt

wandb/run-20220130_175135-mz3dbiz4/files/requirements.txt

@@ -0,0 +1,180 @@
+aiohttp==3.8.1
+aiosignal==1.2.0
+analytics-python==1.4.0
+anyio==3.5.0
+appdirs==1.4.4
+argon2-cffi-bindings==21.2.0
+argon2-cffi==21.3.0
+asgiref==3.5.0
+asttokens==2.0.5
+async-timeout==4.0.2
+attrs==21.4.0
+audioread==2.1.9
+backcall==0.2.0
+backoff==1.10.0
+bcrypt==3.2.0
+beautifulsoup4==4.9.3
+black==21.12b0
+bleach==4.1.0
+brotlipy==0.7.0
+certifi==2020.12.5
+cffi==1.14.3
+chardet==3.0.4
+charset-normalizer==2.0.10
+click==8.0.3
+conda-build==3.21.4
+conda-package-handling==1.7.2
+conda==4.9.2
+configparser==5.2.0
+cryptography==3.2.1
+cycler==0.11.0
+datasets==1.18.2.dev0
+debugpy==1.5.1
+decorator==4.4.2
+defusedxml==0.7.1
+dill==0.3.4
+dnspython==2.1.0
+docker-pycreds==0.4.0
+entrypoints==0.3
+executing==0.8.2
+fastapi==0.73.0
+ffmpy==0.3.0
+filelock==3.0.12
+fonttools==4.29.0
+frozenlist==1.3.0
+fsspec==2022.1.0
+gitdb==4.0.9
+gitpython==3.1.26
+glob2==0.7
+gradio==2.7.5.2
+h11==0.13.0
+huggingface-hub==0.4.0
+idna==2.10
+importlib-resources==5.4.0
+ipykernel==6.7.0
+ipython-genutils==0.2.0
+ipython==8.0.1
+ipywidgets==7.6.3
+jedi==0.17.0
+jinja2==2.11.3
+jiwer==2.3.0
+joblib==1.1.0
+json5==0.9.6
+jsonschema==4.4.0
+jupyter-client==7.1.2
+jupyter-core==4.9.1
+jupyterlab-pygments==0.1.2
+jupyterlab-server==1.2.0
+jupyterlab-widgets==1.0.2
+jupyterlab==2.2.9
+kiwisolver==1.3.2
+libarchive-c==2.9
+librosa==0.8.1
+llvmlite==0.38.0
+markdown2==2.4.2
+markupsafe==1.1.1
+matplotlib-inline==0.1.3
+matplotlib==3.5.1
+mistune==0.8.4
+mkl-fft==1.3.0
+mkl-random==1.1.1
+mkl-service==2.3.0
+monotonic==1.6
+multidict==6.0.2
+multiprocess==0.70.12.2
+mypy-extensions==0.4.3
+nano==0.10.0
+nbclient==0.5.10
+nbconvert==6.4.1
+nbformat==5.1.3
+nest-asyncio==1.5.4
+notebook==6.4.8
+numba==0.55.1
+numpy==1.19.2
+olefile==0.46
+packaging==21.3
+pandas==1.4.0
+pandocfilters==1.5.0
+paramiko==2.9.2
+parso==0.8.1
+pathspec==0.9.0
+pathtools==0.1.2
+pexpect==4.8.0
+pickleshare==0.7.5
+pillow==8.1.2
+pip==21.3.1
+pkginfo==1.7.0
+platformdirs==2.4.1
+pooch==1.6.0
+prometheus-client==0.13.0
+promise==2.3
+prompt-toolkit==3.0.8
+protobuf==3.19.4
+psutil==5.8.0
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pyarrow==6.0.1
+pycosat==0.6.3
+pycparser==2.20
+pycryptodome==3.13.0
+pydantic==1.9.0
+pydub==0.25.1
+pygments==2.8.0
+pynacl==1.5.0
+pyopenssl==19.1.0
+pyparsing==3.0.7
+pyrsistent==0.18.1
+pysocks==1.7.1
+python-dateutil==2.8.2
+python-etcd==0.4.5
+python-levenshtein==0.12.2
+python-multipart==0.0.5
+pytz==2021.1
+pyyaml==5.4.1
+pyzmq==22.3.0
+regex==2022.1.18
+requests==2.24.0
+resampy==0.2.2
+ruamel-yaml==0.15.87
+sacremoses==0.0.47
+scikit-learn==1.0.2
+scipy==1.7.3
+send2trash==1.8.0
+sentry-sdk==1.5.4
+setuptools==50.3.1.post20201107
+shortuuid==1.0.8
+six==1.15.0
+smmap==5.0.0
+sniffio==1.2.0
+soundfile==0.10.3.post1
+soupsieve==2.2
+stack-data==0.1.4
+starlette==0.17.1
+subprocess32==3.5.4
+termcolor==1.1.0
+terminado==0.13.1
+testpath==0.5.0
+threadpoolctl==3.0.0
+tokenizers==0.11.4
+tomli==1.2.3
+torch==1.10.2
+torchaudio==0.10.2
+torchelastic==0.2.2
+torchtext==0.9.1
+torchvision==0.9.1
+tornado==6.1
+tqdm==4.62.3
+traitlets==5.1.1
+transformers==4.17.0.dev0
+typing-extensions==4.0.1
+urllib3==1.25.11
+uvicorn==0.17.1
+wandb==0.12.9
+wcwidth==0.2.5
+webencodings==0.5.1
+wheel==0.35.1
+widgetsnbextension==3.5.2
+xxhash==2.0.2
+yarl==1.7.2
+yaspin==2.1.0
+zipp==3.7.0

wandb/run-20220130_175135-mz3dbiz4/files/wandb-metadata.json

@@ -0,0 +1,66 @@
+{
+    "os": "Linux-4.15.0-151-generic-x86_64-with-glibc2.10",
+    "python": "3.8.8",
+    "heartbeatAt": "2022-01-30T17:51:37.144939",
+    "startedAt": "2022-01-30T17:51:35.856275",
+    "docker": null,
+    "gpu": "Tesla V100S-PCIE-32GB",
+    "gpu_count": 1,
+    "cpu_count": 60,
+    "cuda": null,
+    "args": [
+        "--dataset_name=mozilla-foundation/common_voice_8_0",
+        "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+        "--dataset_config_name=fr",
+        "--tokenizer_name_or_path=./",
+        "--output_dir=./",
+        "--overwrite_output_dir",
+        "--num_train_epochs=4",
+        "--per_device_train_batch_size=64",
+        "--per_device_eval_batch_size=64",
+        "--gradient_accumulation_steps=1",
+        "--learning_rate=2e-4",
+        "--warmup_steps=2500",
+        "--length_column_name=input_length",
+        "--evaluation_strategy=steps",
+        "--text_column_name=sentence",
+        "--save_steps=500",
+        "--eval_steps=500",
+        "--logging_steps=100",
+        "--layerdrop=0.0",
+        "--activation_dropout=0.05",
+        "--save_total_limit=2",
+        "--freeze_feature_encoder",
+        "--feat_proj_dropout=0.0",
+        "--mask_time_prob=0.6",
+        "--mask_time_length=10",
+        "--mask_feature_prob=0.25",
+        "--mask_feature_length=10",
+        "--gradient_checkpointing",
+        "--report_to=wandb",
+        "--run_name=xls-r-300m-fr",
+        "--max_train_samples=1000",
+        "--max_eval_samples=60",
+        "--max_duration_in_seconds=10",
+        "--use_auth_token",
+        "--fp16",
+        "--group_by_length",
+        "--preprocessing_num_workers=64",
+        "--do_train",
+        "--do_eval",
+        "--load_best_model_at_end",
+        "--push_to_hub"
+    ],
+    "state": "running",
+    "program": "run_speech_recognition_ctc.py",
+    "codePath": "run_speech_recognition_ctc.py",
+    "git": {
+        "remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
+        "commit": "9d07727def2251b0909520344156eb711ff096b9"
+    },
+    "email": "alexandrenap@hotmail.fr",
+    "root": "/workspace/xls-r-300m-fr",
+    "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+    "username": "ovh",
+    "executable": "/opt/conda/bin/python"
+}

wandb/run-20220130_175135-mz3dbiz4/files/wandb-summary.json

@@ -0,0 +1 @@
+{"_wandb": {"runtime": 109}}

wandb/run-20220130_175135-mz3dbiz4/logs/debug-internal.log

@@ -0,0 +1,192 @@
+2022-01-30 17:51:36,839 INFO    MainThread:21293 [internal.py:wandb_internal():87] W&B internal server running at pid: 21293, started at: 2022-01-30 17:51:36.839410
+2022-01-30 17:51:36,843 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: check_version
+2022-01-30 17:51:36,844 INFO    WriterThread:21293 [datastore.py:open_for_write():77] open: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/run-mz3dbiz4.wandb
+2022-01-30 17:51:36,847 DEBUG   SenderThread:21293 [sender.py:send():234] send: header
+2022-01-30 17:51:36,848 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: check_version
+2022-01-30 17:51:36,917 DEBUG   SenderThread:21293 [sender.py:send():234] send: run
+2022-01-30 17:51:37,133 INFO    SenderThread:21293 [dir_watcher.py:__init__():169] watching files in: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files
+2022-01-30 17:51:37,134 INFO    SenderThread:21293 [sender.py:_start_run_threads():804] run started: mz3dbiz4 with start time 1643565096
+2022-01-30 17:51:37,134 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: run_start
+2022-01-30 17:51:37,134 DEBUG   SenderThread:21293 [sender.py:send():234] send: summary
+2022-01-30 17:51:37,136 INFO    SenderThread:21293 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-01-30 17:51:37,144 DEBUG   HandlerThread:21293 [meta.py:__init__():40] meta init
+2022-01-30 17:51:37,144 DEBUG   HandlerThread:21293 [meta.py:__init__():54] meta init done
+2022-01-30 17:51:37,144 DEBUG   HandlerThread:21293 [meta.py:probe():214] probe
+2022-01-30 17:51:37,154 DEBUG   HandlerThread:21293 [meta.py:_setup_git():204] setup git
+2022-01-30 17:51:37,190 DEBUG   HandlerThread:21293 [meta.py:_setup_git():211] setup git done
+2022-01-30 17:51:37,191 DEBUG   HandlerThread:21293 [meta.py:_save_pip():58] save pip
+2022-01-30 17:51:37,193 DEBUG   HandlerThread:21293 [meta.py:_save_pip():72] save pip done
+2022-01-30 17:51:37,193 DEBUG   HandlerThread:21293 [meta.py:_save_conda():79] save conda
+2022-01-30 17:51:37,717 DEBUG   HandlerThread:21293 [meta.py:_save_conda():89] save conda done
+2022-01-30 17:51:37,718 DEBUG   HandlerThread:21293 [meta.py:probe():252] probe done
+2022-01-30 17:51:37,726 DEBUG   SenderThread:21293 [sender.py:send():234] send: files
+2022-01-30 17:51:37,726 INFO    SenderThread:21293 [sender.py:_save_file():939] saving file wandb-metadata.json with policy now
+2022-01-30 17:51:37,736 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: stop_status
+2022-01-30 17:51:37,737 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: stop_status
+2022-01-30 17:51:37,890 DEBUG   SenderThread:21293 [sender.py:send():234] send: config
+2022-01-30 17:51:37,892 DEBUG   SenderThread:21293 [sender.py:send():234] send: metric
+2022-01-30 17:51:37,893 DEBUG   SenderThread:21293 [sender.py:send():234] send: metric
+2022-01-30 17:51:37,893 WARNING SenderThread:21293 [sender.py:send_metric():897] Seen metric with glob (shouldnt happen)
+2022-01-30 17:51:38,136 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/conda-environment.yaml
+2022-01-30 17:51:38,137 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/wandb-summary.json
+2022-01-30 17:51:38,137 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/requirements.txt
+2022-01-30 17:51:38,138 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:51:38,138 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/wandb-metadata.json
+2022-01-30 17:51:38,250 INFO    Thread-11 :21293 [upload_job.py:push():137] Uploaded file /tmp/tmp7m8cqty2wandb/246jybel-wandb-metadata.json
+2022-01-30 17:51:40,135 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:51:46,138 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:51:48,140 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:51:50,142 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:51:53,043 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: stop_status
+2022-01-30 17:51:53,043 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: stop_status
+2022-01-30 17:51:56,145 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:00,148 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:02,149 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:05,410 DEBUG   SenderThread:21293 [sender.py:send():234] send: stats
+2022-01-30 17:52:06,151 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:08,153 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/config.yaml
+2022-01-30 17:52:08,539 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: stop_status
+2022-01-30 17:52:08,540 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: stop_status
+2022-01-30 17:52:10,154 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:12,156 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:16,158 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:21,162 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:23,163 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:23,731 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: stop_status
+2022-01-30 17:52:23,732 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: stop_status
+2022-01-30 17:52:29,168 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:31,169 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:33,170 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:35,634 DEBUG   SenderThread:21293 [sender.py:send():234] send: stats
+2022-01-30 17:52:37,174 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:38,896 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: stop_status
+2022-01-30 17:52:38,896 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: stop_status
+2022-01-30 17:52:43,178 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:45,179 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:47,180 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:53,183 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:54,057 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: stop_status
+2022-01-30 17:52:54,058 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: stop_status
+2022-01-30 17:52:57,186 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:52:59,187 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:03,190 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:05,866 DEBUG   SenderThread:21293 [sender.py:send():234] send: stats
+2022-01-30 17:53:07,192 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:09,194 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:09,222 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: stop_status
+2022-01-30 17:53:09,223 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: stop_status
+2022-01-30 17:53:15,197 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:17,198 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:19,200 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:23,992 WARNING MainThread:21293 [internal.py:wandb_internal():146] Internal process interrupt: 1
+2022-01-30 17:53:25,205 INFO    Thread-8  :21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:26,380 DEBUG   SenderThread:21293 [sender.py:send():234] send: telemetry
+2022-01-30 17:53:26,380 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:26,380 DEBUG   SenderThread:21293 [sender.py:send():234] send: exit
+2022-01-30 17:53:26,381 INFO    SenderThread:21293 [sender.py:send_exit():366] handling exit code: 255
+2022-01-30 17:53:26,381 INFO    SenderThread:21293 [sender.py:send_exit():368] handling runtime: 109
+2022-01-30 17:53:26,381 INFO    SenderThread:21293 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-01-30 17:53:26,382 INFO    SenderThread:21293 [sender.py:send_exit():374] send defer
+2022-01-30 17:53:26,382 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:26,383 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:26,383 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 0
+2022-01-30 17:53:26,384 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:26,384 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 0
+2022-01-30 17:53:26,384 INFO    SenderThread:21293 [sender.py:transition_state():387] send defer: 1
+2022-01-30 17:53:26,384 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:26,385 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 1
+2022-01-30 17:53:26,424 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:26,424 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 1
+2022-01-30 17:53:26,424 INFO    SenderThread:21293 [sender.py:transition_state():387] send defer: 2
+2022-01-30 17:53:26,425 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:26,425 DEBUG   SenderThread:21293 [sender.py:send():234] send: stats
+2022-01-30 17:53:26,426 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 2
+2022-01-30 17:53:26,427 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:26,427 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 2
+2022-01-30 17:53:26,427 INFO    SenderThread:21293 [sender.py:transition_state():387] send defer: 3
+2022-01-30 17:53:26,427 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:26,428 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 3
+2022-01-30 17:53:26,428 DEBUG   SenderThread:21293 [sender.py:send():234] send: summary
+2022-01-30 17:53:26,429 INFO    SenderThread:21293 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-01-30 17:53:26,429 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:26,429 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 3
+2022-01-30 17:53:26,430 INFO    SenderThread:21293 [sender.py:transition_state():387] send defer: 4
+2022-01-30 17:53:26,430 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:26,430 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 4
+2022-01-30 17:53:26,431 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:26,431 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 4
+2022-01-30 17:53:26,485 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:26,670 INFO    SenderThread:21293 [sender.py:transition_state():387] send defer: 5
+2022-01-30 17:53:26,670 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:26,670 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:26,671 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 5
+2022-01-30 17:53:26,671 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:26,671 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 5
+2022-01-30 17:53:26,671 INFO    SenderThread:21293 [dir_watcher.py:finish():283] shutting down directory watcher
+2022-01-30 17:53:26,772 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:27,207 INFO    SenderThread:21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/config.yaml
+2022-01-30 17:53:27,207 INFO    SenderThread:21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:27,208 INFO    SenderThread:21293 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/wandb-summary.json
+2022-01-30 17:53:27,208 INFO    SenderThread:21293 [dir_watcher.py:finish():313] scan: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files
+2022-01-30 17:53:27,209 INFO    SenderThread:21293 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log output.log
+2022-01-30 17:53:27,209 INFO    SenderThread:21293 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/wandb-metadata.json wandb-metadata.json
+2022-01-30 17:53:27,209 INFO    SenderThread:21293 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/config.yaml config.yaml
+2022-01-30 17:53:27,210 INFO    SenderThread:21293 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/conda-environment.yaml conda-environment.yaml
+2022-01-30 17:53:27,222 INFO    SenderThread:21293 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/wandb-summary.json wandb-summary.json
+2022-01-30 17:53:27,223 INFO    SenderThread:21293 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/requirements.txt requirements.txt
+2022-01-30 17:53:27,224 INFO    SenderThread:21293 [sender.py:transition_state():387] send defer: 6
+2022-01-30 17:53:27,224 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:27,233 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:27,233 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 6
+2022-01-30 17:53:27,241 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:27,242 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 6
+2022-01-30 17:53:27,242 INFO    SenderThread:21293 [file_pusher.py:finish():177] shutting down file pusher
+2022-01-30 17:53:27,329 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:27,329 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:27,436 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:27,440 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:27,543 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:27,543 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:27,646 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:27,646 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:27,738 INFO    Thread-12 :21293 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/output.log
+2022-01-30 17:53:27,746 INFO    Thread-14 :21293 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/wandb-summary.json
+2022-01-30 17:53:27,748 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:27,748 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:27,761 INFO    Thread-13 :21293 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/config.yaml
+2022-01-30 17:53:27,775 INFO    Thread-15 :21293 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/files/requirements.txt
+2022-01-30 17:53:27,851 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:27,851 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:27,954 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:27,954 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:27,976 INFO    Thread-7  :21293 [sender.py:transition_state():387] send defer: 7
+2022-01-30 17:53:27,977 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:27,977 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 7
+2022-01-30 17:53:27,977 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:27,977 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 7
+2022-01-30 17:53:28,057 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:28,973 INFO    SenderThread:21293 [sender.py:transition_state():387] send defer: 8
+2022-01-30 17:53:28,974 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:28,974 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:28,975 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 8
+2022-01-30 17:53:28,975 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:28,975 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 8
+2022-01-30 17:53:28,975 INFO    SenderThread:21293 [sender.py:transition_state():387] send defer: 9
+2022-01-30 17:53:28,976 DEBUG   SenderThread:21293 [sender.py:send():234] send: final
+2022-01-30 17:53:28,977 DEBUG   SenderThread:21293 [sender.py:send():234] send: footer
+2022-01-30 17:53:28,977 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: defer
+2022-01-30 17:53:28,977 INFO    HandlerThread:21293 [handler.py:handle_request_defer():147] handle defer: 9
+2022-01-30 17:53:28,977 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: defer
+2022-01-30 17:53:28,977 INFO    SenderThread:21293 [sender.py:send_request_defer():383] handle sender defer: 9
+2022-01-30 17:53:29,077 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: poll_exit
+2022-01-30 17:53:29,077 DEBUG   SenderThread:21293 [sender.py:send_request():248] send_request: poll_exit
+2022-01-30 17:53:29,078 INFO    SenderThread:21293 [file_pusher.py:join():182] waiting for file pusher
+2022-01-30 17:53:29,426 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: get_summary
+2022-01-30 17:53:29,427 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: sampled_history
+2022-01-30 17:53:29,429 DEBUG   HandlerThread:21293 [handler.py:handle_request():130] handle_request: shutdown
+2022-01-30 17:53:29,429 INFO    HandlerThread:21293 [handler.py:finish():731] shutting down handler
+2022-01-30 17:53:29,977 INFO    WriterThread:21293 [datastore.py:close():281] close: /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/run-mz3dbiz4.wandb
+2022-01-30 17:53:30,424 INFO    SenderThread:21293 [sender.py:finish():1070] shutting down sender
+2022-01-30 17:53:30,425 INFO    SenderThread:21293 [file_pusher.py:finish():177] shutting down file pusher
+2022-01-30 17:53:30,425 INFO    SenderThread:21293 [file_pusher.py:join():182] waiting for file pusher
+2022-01-30 17:53:30,428 INFO    MainThread:21293 [internal.py:handle_exit():77] Internal process exited

wandb/run-20220130_175135-mz3dbiz4/logs/debug.log

@@ -0,0 +1,128 @@
+2022-01-30 17:51:35,860 INFO    MainThread:20808 [wandb_setup.py:_flush():71] setting env: {}
+2022-01-30 17:51:35,860 INFO    MainThread:20808 [wandb_setup.py:_flush():71] setting login settings: {}
+2022-01-30 17:51:35,861 INFO    MainThread:20808 [wandb_init.py:_log_setup():371] Logging user logs to /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/logs/debug.log
+2022-01-30 17:51:35,861 INFO    MainThread:20808 [wandb_init.py:_log_setup():372] Logging internal logs to /workspace/xls-r-300m-fr/wandb/run-20220130_175135-mz3dbiz4/logs/debug-internal.log
+2022-01-30 17:51:35,861 INFO    MainThread:20808 [wandb_init.py:init():404] calling init triggers
+2022-01-30 17:51:35,861 INFO    MainThread:20808 [wandb_init.py:init():409] wandb.init called with sweep_config: {}
+config: {}
+2022-01-30 17:51:35,861 INFO    MainThread:20808 [wandb_init.py:init():460] starting backend
+2022-01-30 17:51:35,862 INFO    MainThread:20808 [backend.py:_multiprocessing_setup():99] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
+2022-01-30 17:51:35,951 INFO    MainThread:20808 [backend.py:ensure_launched():216] starting backend process...
+2022-01-30 17:51:36,027 INFO    MainThread:20808 [backend.py:ensure_launched():221] started backend process with pid: 21293
+2022-01-30 17:51:36,030 INFO    MainThread:20808 [wandb_init.py:init():469] backend started and connected
+2022-01-30 17:51:36,039 INFO    MainThread:20808 [wandb_init.py:init():533] updated telemetry
+2022-01-30 17:51:36,196 INFO    MainThread:20808 [wandb_init.py:init():563] communicating current version
+2022-01-30 17:51:36,915 INFO    MainThread:20808 [wandb_init.py:init():568] got version response 
+2022-01-30 17:51:36,915 INFO    MainThread:20808 [wandb_init.py:init():578] communicating run to backend with 30 second timeout
+2022-01-30 17:51:37,132 INFO    MainThread:20808 [wandb_init.py:init():606] starting run threads in backend
+2022-01-30 17:51:37,730 INFO    MainThread:20808 [wandb_run.py:_console_start():1810] atexit reg
+2022-01-30 17:51:37,731 INFO    MainThread:20808 [wandb_run.py:_redirect():1684] redirect: SettingsConsole.REDIRECT
+2022-01-30 17:51:37,732 INFO    MainThread:20808 [wandb_run.py:_redirect():1689] Redirecting console.
+2022-01-30 17:51:37,736 INFO    MainThread:20808 [wandb_run.py:_redirect():1745] Redirects installed.
+2022-01-30 17:51:37,736 INFO    MainThread:20808 [wandb_init.py:init():633] run started, returning control to user process
+2022-01-30 17:51:37,737 INFO    MainThread:20808 [wandb_run.py:_config_callback():956] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 218, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.05, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 219, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.6, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.25, 'mask_feature_length': 10, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'mean', 'ctc_zero_infinity': False, 'add_adapter': False, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 64, 'per_device_eval_batch_size': 64, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': 'None', 'learning_rate': 0.0002, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 4.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 2500, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Jan30_17-50-54_job-1abccd0a-3293-4ffe-8274-9e8f841f653f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 100, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 2, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'xls-r-300m-fr', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'train_batch_size': 64, 'eval_batch_size': 64}
+2022-01-30 17:51:37,741 INFO    MainThread:20808 [wandb_watch.py:watch():43] Watching
+2022-01-30 17:53:23,994 INFO    MainThread:20808 [wandb_run.py:_atexit_cleanup():1780] got exitcode: 255
+2022-01-30 17:53:23,996 INFO    MainThread:20808 [wandb_run.py:_restore():1752] restore
+2022-01-30 17:53:26,384 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2214
+  total_bytes: 2214
+}
+
+2022-01-30 17:53:26,671 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2214
+  total_bytes: 2214
+}
+
+2022-01-30 17:53:27,227 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 3
+}
+pusher_stats {
+  uploaded_bytes: 2214
+  total_bytes: 13771
+}
+
+2022-01-30 17:53:27,331 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2214
+  total_bytes: 16932
+}
+
+2022-01-30 17:53:27,442 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2214
+  total_bytes: 16932
+}
+
+2022-01-30 17:53:27,544 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16932
+  total_bytes: 16932
+}
+
+2022-01-30 17:53:27,647 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16932
+  total_bytes: 16932
+}
+
+2022-01-30 17:53:27,749 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16932
+  total_bytes: 16932
+}
+
+2022-01-30 17:53:27,852 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16932
+  total_bytes: 16932
+}
+
+2022-01-30 17:53:27,955 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16932
+  total_bytes: 16932
+}
+
+2022-01-30 17:53:28,975 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16932
+  total_bytes: 16932
+}
+
+2022-01-30 17:53:29,424 INFO    MainThread:20808 [wandb_run.py:_wait_for_finish():1912] got exit ret: done: true
+exit_result {
+}
+file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 16932
+  total_bytes: 16932
+}
+local_info {
+}
+
+2022-01-30 17:53:30,573 INFO    MainThread:20808 [wandb_run.py:_append_files():2180] logging synced files

wandb/run-20220130_175417-3n44neww/files/config.yaml

@@ -0,0 +1,686 @@
+wandb_version: 1
+
+_n_gpu:
+  desc: null
+  value: 1
+_name_or_path:
+  desc: null
+  value: facebook/wav2vec2-xls-r-300m
+_wandb:
+  desc: null
+  value:
+    cli_version: 0.12.9
+    framework: huggingface
+    huggingface_version: 4.17.0.dev0
+    is_jupyter_run: false
+    is_kaggle_kernel: false
+    m:
+    - 1: train/global_step
+      6:
+      - 3
+    - 1: train/loss
+      5: 1
+      6:
+      - 1
+    - 1: train/learning_rate
+      5: 1
+      6:
+      - 1
+    - 1: train/epoch
+      5: 1
+      6:
+      - 1
+    - 1: eval/loss
+      5: 1
+      6:
+      - 1
+    - 1: eval/wer
+      5: 1
+      6:
+      - 1
+    - 1: eval/runtime
+      5: 1
+      6:
+      - 1
+    - 1: eval/samples_per_second
+      5: 1
+      6:
+      - 1
+    - 1: eval/steps_per_second
+      5: 1
+      6:
+      - 1
+    python_version: 3.8.8
+    start_time: 1643565257
+    t:
+      1:
+      - 1
+      - 5
+      - 11
+      2:
+      - 1
+      - 5
+      - 11
+      3:
+      - 1
+      - 7
+      - 13
+      4: 3.8.8
+      5: 0.12.9
+      6: 4.17.0.dev0
+      8:
+      - 5
+activation_dropout:
+  desc: null
+  value: 0.05
+adafactor:
+  desc: null
+  value: false
+adam_beta1:
+  desc: null
+  value: 0.9
+adam_beta2:
+  desc: null
+  value: 0.999
+adam_epsilon:
+  desc: null
+  value: 1.0e-08
+adapter_kernel_size:
+  desc: null
+  value: 3
+adapter_stride:
+  desc: null
+  value: 2
+add_adapter:
+  desc: null
+  value: false
+add_cross_attention:
+  desc: null
+  value: false
+apply_spec_augment:
+  desc: null
+  value: true
+architectures:
+  desc: null
+  value:
+  - Wav2Vec2ForPreTraining
+attention_dropout:
+  desc: null
+  value: 0.0
+bad_words_ids:
+  desc: null
+  value: null
+bf16:
+  desc: null
+  value: false
+bf16_full_eval:
+  desc: null
+  value: false
+bos_token_id:
+  desc: null
+  value: 1
+chunk_size_feed_forward:
+  desc: null
+  value: 0
+classifier_proj_size:
+  desc: null
+  value: 256
+codevector_dim:
+  desc: null
+  value: 768
+contrastive_logits_temperature:
+  desc: null
+  value: 0.1
+conv_bias:
+  desc: null
+  value: true
+conv_dim:
+  desc: null
+  value:
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+  - 512
+conv_kernel:
+  desc: null
+  value:
+  - 10
+  - 3
+  - 3
+  - 3
+  - 3
+  - 2
+  - 2
+conv_stride:
+  desc: null
+  value:
+  - 5
+  - 2
+  - 2
+  - 2
+  - 2
+  - 2
+  - 2
+cross_attention_hidden_size:
+  desc: null
+  value: null
+ctc_loss_reduction:
+  desc: null
+  value: mean
+ctc_zero_infinity:
+  desc: null
+  value: false
+dataloader_drop_last:
+  desc: null
+  value: false
+dataloader_num_workers:
+  desc: null
+  value: 0
+dataloader_pin_memory:
+  desc: null
+  value: true
+ddp_bucket_cap_mb:
+  desc: null
+  value: None
+ddp_find_unused_parameters:
+  desc: null
+  value: None
+debug:
+  desc: null
+  value: '[]'
+decoder_start_token_id:
+  desc: null
+  value: null
+deepspeed:
+  desc: null
+  value: None
+disable_tqdm:
+  desc: null
+  value: false
+diversity_loss_weight:
+  desc: null
+  value: 0.1
+diversity_penalty:
+  desc: null
+  value: 0.0
+do_eval:
+  desc: null
+  value: true
+do_predict:
+  desc: null
+  value: false
+do_sample:
+  desc: null
+  value: false
+do_stable_layer_norm:
+  desc: null
+  value: true
+do_train:
+  desc: null
+  value: true
+early_stopping:
+  desc: null
+  value: false
+encoder_no_repeat_ngram_size:
+  desc: null
+  value: 0
+eos_token_id:
+  desc: null
+  value: 2
+eval_accumulation_steps:
+  desc: null
+  value: None
+eval_batch_size:
+  desc: null
+  value: 64
+eval_steps:
+  desc: null
+  value: 5
+evaluation_strategy:
+  desc: null
+  value: steps
+feat_extract_activation:
+  desc: null
+  value: gelu
+feat_extract_dropout:
+  desc: null
+  value: 0.0
+feat_extract_norm:
+  desc: null
+  value: layer
+feat_proj_dropout:
+  desc: null
+  value: 0.0
+feat_quantizer_dropout:
+  desc: null
+  value: 0.0
+final_dropout:
+  desc: null
+  value: 0.0
+finetuning_task:
+  desc: null
+  value: null
+forced_bos_token_id:
+  desc: null
+  value: null
+forced_eos_token_id:
+  desc: null
+  value: null
+fp16:
+  desc: null
+  value: true
+fp16_backend:
+  desc: null
+  value: auto
+fp16_full_eval:
+  desc: null
+  value: false
+fp16_opt_level:
+  desc: null
+  value: O1
+gradient_accumulation_steps:
+  desc: null
+  value: 1
+gradient_checkpointing:
+  desc: null
+  value: true
+greater_is_better:
+  desc: null
+  value: false
+group_by_length:
+  desc: null
+  value: true
+half_precision_backend:
+  desc: null
+  value: amp
+hidden_act:
+  desc: null
+  value: gelu
+hidden_dropout:
+  desc: null
+  value: 0.0
+hidden_size:
+  desc: null
+  value: 1024
+hub_model_id:
+  desc: null
+  value: None
+hub_strategy:
+  desc: null
+  value: every_save
+hub_token:
+  desc: null
+  value: <HUB_TOKEN>
+id2label:
+  desc: null
+  value:
+    '0': LABEL_0
+    '1': LABEL_1
+ignore_data_skip:
+  desc: null
+  value: false
+initializer_range:
+  desc: null
+  value: 0.02
+intermediate_size:
+  desc: null
+  value: 4096
+is_decoder:
+  desc: null
+  value: false
+is_encoder_decoder:
+  desc: null
+  value: false
+label2id:
+  desc: null
+  value:
+    LABEL_0: 0
+    LABEL_1: 1
+label_names:
+  desc: null
+  value: None
+label_smoothing_factor:
+  desc: null
+  value: 0.0
+layer_norm_eps:
+  desc: null
+  value: 1.0e-05
+layerdrop:
+  desc: null
+  value: 0.0
+learning_rate:
+  desc: null
+  value: 0.0002
+length_column_name:
+  desc: null
+  value: input_length
+length_penalty:
+  desc: null
+  value: 1.0
+load_best_model_at_end:
+  desc: null
+  value: true
+local_rank:
+  desc: null
+  value: -1
+log_level:
+  desc: null
+  value: -1
+log_level_replica:
+  desc: null
+  value: -1
+log_on_each_node:
+  desc: null
+  value: true
+logging_dir:
+  desc: null
+  value: ./runs/Jan30_17-53-36_job-1abccd0a-3293-4ffe-8274-9e8f841f653f
+logging_first_step:
+  desc: null
+  value: false
+logging_nan_inf_filter:
+  desc: null
+  value: true
+logging_steps:
+  desc: null
+  value: 5
+logging_strategy:
+  desc: null
+  value: steps
+lr_scheduler_type:
+  desc: null
+  value: linear
+mask_feature_length:
+  desc: null
+  value: 10
+mask_feature_min_masks:
+  desc: null
+  value: 0
+mask_feature_prob:
+  desc: null
+  value: 0.25
+mask_time_length:
+  desc: null
+  value: 10
+mask_time_min_masks:
+  desc: null
+  value: 2
+mask_time_prob:
+  desc: null
+  value: 0.6
+max_grad_norm:
+  desc: null
+  value: 1.0
+max_length:
+  desc: null
+  value: 20
+max_steps:
+  desc: null
+  value: -1
+metric_for_best_model:
+  desc: null
+  value: loss
+min_length:
+  desc: null
+  value: 0
+model_type:
+  desc: null
+  value: wav2vec2
+mp_parameters:
+  desc: null
+  value: ''
+no_cuda:
+  desc: null
+  value: false
+no_repeat_ngram_size:
+  desc: null
+  value: 0
+num_adapter_layers:
+  desc: null
+  value: 3
+num_attention_heads:
+  desc: null
+  value: 16
+num_beam_groups:
+  desc: null
+  value: 1
+num_beams:
+  desc: null
+  value: 1
+num_codevector_groups:
+  desc: null
+  value: 2
+num_codevectors_per_group:
+  desc: null
+  value: 320
+num_conv_pos_embedding_groups:
+  desc: null
+  value: 16
+num_conv_pos_embeddings:
+  desc: null
+  value: 128
+num_feat_extract_layers:
+  desc: null
+  value: 7
+num_hidden_layers:
+  desc: null
+  value: 24
+num_negatives:
+  desc: null
+  value: 100
+num_return_sequences:
+  desc: null
+  value: 1
+num_train_epochs:
+  desc: null
+  value: 4.0
+optim:
+  desc: null
+  value: adamw_hf
+output_attentions:
+  desc: null
+  value: false
+output_dir:
+  desc: null
+  value: ./
+output_hidden_size:
+  desc: null
+  value: 1024
+output_hidden_states:
+  desc: null
+  value: false
+output_scores:
+  desc: null
+  value: false
+overwrite_output_dir:
+  desc: null
+  value: true
+pad_token_id:
+  desc: null
+  value: 218
+past_index:
+  desc: null
+  value: -1
+per_device_eval_batch_size:
+  desc: null
+  value: 64
+per_device_train_batch_size:
+  desc: null
+  value: 64
+per_gpu_eval_batch_size:
+  desc: null
+  value: None
+per_gpu_train_batch_size:
+  desc: null
+  value: None
+prediction_loss_only:
+  desc: null
+  value: false
+prefix:
+  desc: null
+  value: null
+problem_type:
+  desc: null
+  value: null
+proj_codevector_dim:
+  desc: null
+  value: 768
+pruned_heads:
+  desc: null
+  value: {}
+push_to_hub:
+  desc: null
+  value: true
+push_to_hub_model_id:
+  desc: null
+  value: None
+push_to_hub_organization:
+  desc: null
+  value: None
+push_to_hub_token:
+  desc: null
+  value: <PUSH_TO_HUB_TOKEN>
+remove_invalid_values:
+  desc: null
+  value: false
+remove_unused_columns:
+  desc: null
+  value: true
+repetition_penalty:
+  desc: null
+  value: 1.0
+report_to:
+  desc: null
+  value: '[''wandb'']'
+resume_from_checkpoint:
+  desc: null
+  value: None
+return_dict:
+  desc: null
+  value: true
+return_dict_in_generate:
+  desc: null
+  value: false
+run_name:
+  desc: null
+  value: xls-r-300m-fr
+save_on_each_node:
+  desc: null
+  value: false
+save_steps:
+  desc: null
+  value: 500
+save_strategy:
+  desc: null
+  value: steps
+save_total_limit:
+  desc: null
+  value: 20
+seed:
+  desc: null
+  value: 42
+sep_token_id:
+  desc: null
+  value: null
+sharded_ddp:
+  desc: null
+  value: '[]'
+skip_memory_metrics:
+  desc: null
+  value: true
+task_specific_params:
+  desc: null
+  value: null
+tdnn_dilation:
+  desc: null
+  value:
+  - 1
+  - 2
+  - 3
+  - 1
+  - 1
+tdnn_dim:
+  desc: null
+  value:
+  - 512
+  - 512
+  - 512
+  - 512
+  - 1500
+tdnn_kernel:
+  desc: null
+  value:
+  - 5
+  - 3
+  - 3
+  - 1
+  - 1
+temperature:
+  desc: null
+  value: 1.0
+tf32:
+  desc: null
+  value: None
+tie_encoder_decoder:
+  desc: null
+  value: false
+tie_word_embeddings:
+  desc: null
+  value: true
+tokenizer_class:
+  desc: null
+  value: null
+top_k:
+  desc: null
+  value: 50
+top_p:
+  desc: null
+  value: 1.0
+torch_dtype:
+  desc: null
+  value: float32
+torchscript:
+  desc: null
+  value: false
+tpu_metrics_debug:
+  desc: null
+  value: false
+tpu_num_cores:
+  desc: null
+  value: None
+train_batch_size:
+  desc: null
+  value: 64
+transformers_version:
+  desc: null
+  value: 4.17.0.dev0
+use_bfloat16:
+  desc: null
+  value: false
+use_legacy_prediction_loop:
+  desc: null
+  value: false
+use_weighted_layer_sum:
+  desc: null
+  value: false
+vocab_size:
+  desc: null
+  value: 219
+warmup_ratio:
+  desc: null
+  value: 0.0
+warmup_steps:
+  desc: null
+  value: 2500
+weight_decay:
+  desc: null
+  value: 0.0
+xpu_backend:
+  desc: null
+  value: None
+xvector_output_dim:
+  desc: null
+  value: 512

wandb/run-20220130_175417-3n44neww/files/output.log

@@ -0,0 +1,67 @@
+
+
+
+
+
+  6%|██████████▊                                                                                                                                                                  | 4/64 [00:16<04:04,  4.08s/it]
+  8%|█████████████▌                                                                                                                                                               | 5/64 [00:19<03:39,  3.73s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 60
+  Batch size = 64
+['~զ‐զ‐a‐め‐զ‐զ‐めզ‐め‐զ‐め‐めզめ‐めզ‐զ‐զ‐զめզ‐め‐զ‐զ‐զ—զ‐զːめզ‐զめ‐զ‐զ‐ːめզ‐զ‐զ‐め~青βまиi=', '~զːզ—զaզa*զaզaզːզːզ—զːզaզ—զ—ːզaզː—զ—զ=~β~β=ま=まиaզa', '~‐զ‐զːզめզめ‐զːզaզ—զ‐զːզːզ—զaզ—‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐—‐—iиまи', 'ψ‐ː‐զ‐—‐զ‐զ‐—զa—զめզめզ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զめզ—զ‐զめ—զːզめզ—めːզめզ—զːaզaզ‐զːզ‐めզ‐զめզめ‐զめ‐め‐め‐め‐め‐=ᆨiま=ま', 'ψaզ‐զ‐զ‐a‐զːզ‐զ‐զːզ—զ‐զ‐զ‐զ—aզ‐զːaːaզめaզ‐զːզːզ‐զめզ—ː—զ甌‐めզめզ‐*զ‐a‐aզ‐զ‐զ‐a~β~β~E=', 'ψːզːզ‐զ‐զめ—զ‐め‐ːզ‐զ‐զ*զːզ‐զ‐զaզ*զ—ːզ‐զaզ*զaːզːզːզ‐զːզめզ‐զ‐めզːզ‐զめզ‐զ=iᆨβ~βᆨβᆨβᆨβまβまβまβ=β=', 'β‐զめզ‐զ—զ—զ—զ‐զ‐զ—ːզ‐զめզ‐զ—զːզːզ‐զ‐զめ‐զ‐—զ—զめզめզ‐զめ‐めզめ‐զ‐め‐զめզ‐զ‐զ‐めզめզ‐զ—զ‐զめ‐զ‐aiиiиま', '~‐զ‐զ‐զ‐զ‐զ‐a‐զ‐めզめզ‐めզめːզ‐զ‐めզ‐զめզ‐զ‐զːզ‐զめզ‐զ—ːզ‐զ‐զ—զ‐զ‐զめզ‐め‐め‐զ‐a‐aզ‐a‐a‐=β~β', '~զめaиaզ—めզめզめզめզめզめզめզめ—めզ—aզめզめզːaզめ—めզめզめզめզめզめ—めզめզːaզめ—զめզめզめ—ːզめզめզめզめːaզめզめզ—a—զめզめզめզめզめզめզめզめզめզめզめզめզめզ—めզめզめզめaᆨиβ', '~‐ːզめզ—զ‐—զめ‐め‐め‐и‐զ‐め—ːզ‐զ‐զ‐զ‐զːզaզa—զめզ‐զ—զめզめզa‐զ‐զめզ‐めզːզめզめզ‐ːめզ‐զ‐զめզめ—め‐զめːզ‐—めզめզ‐զ‐զːզ‐めզめզ‐զ‐զ‐զ‐めզめ‐め‐զ‐զ‐めզaめ*めզめ‐めզめզ‐=iEiቀまቀま甌ま甌β', '~‐զ‐զめզ‐զめզめզ‐めː—aզ*ːզ‐զ‐զめզ‐めզ‐めզめզː—ːզːaզめզ‐զめզめːզ‐めզめ—զ‐զ‐զaզ*զ‐զ‐め‐めզ‐զ‐զめզː‐զ—ːզ‐զ‐զめզːզ‐զ‐զ‐զ‐զ‐զ‐զːめզめզめզめզ=զめ‐めզめ‐め‐զめզめ‐զ‐めզめզ‐զ‐=i~i~i~', 'ψզ‐a—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐め‐զ‐զめ‐զ‐め‐*‐զ‐զ‐զ‐զ—ːզ‐զ‐զ—զめզめզ‐զめ‐め‐զめզめզːզめզːaզːめզめզ‐զ‐—‐め‐め‐—զめ‐め‐զ‐め‐զ‐—‐զ‐ː‐զ—զːզ‐զ‐զ‐=iиiиi甌i甌β', '~‐и‐զ‐a‐め‐*զ‐*‐めզ甌զめզ‐*զ‐めզ‐զ‐զ*めզ‐զ*‐甌‐զ‐զ—զ*զ‐զ‐զ‐զ*զ‐զ*զ‐զめզめզめզめզ‐զめզめզ‐めզめզ‐զ‐զ*զめզめզ—‐զ‐զ‐զ‐—զ‐զめզめզ*‐զめզめզ‐*‐զ‐めզ‐զ‐*‐め‐*‐め‐め‐め‐め‐め‐—‐ː‐զ—‐甌‐め‐め‐aiτi', '~‐—‐—‐զ‐զ‐զ‐ː‐めզːզめզめզ—զ‐զ‐զ—զ—ː—զめզめզ‐զːզːզ‐զːզめ‐զ‐զːզ‐զ‐զːめզːզめզ—զːզːզめ‐めզ‐զːめːզめզめ—զめզ‐զ‐զ‐զ‐զ—զːզːզ‐ː—‐զ‐զ‐զ‐aզ‐aiβ~まaまiβ', '~‐ːզめզめզ‐զa*զ—aզːզːզ—զaːaːզめզ—զa—aզːaզ—aːզːզːզ—զːզːզめզ‐զa青β~青まaи=', '~a—めaզ‐aզ‐զ‐զめզ‐a‐զ‐զaզaːզːզ‐զːզ‐めզːզ‐զaզaզa‐զːզ—զ‐զ‐զ*զめզ—զめզめզaզ‐ːզaːaզ‐a=~и', '~=ːaզ‐զ‐զ‐—‐զ‐a‐a‐զ‐զ‐—զめaզaզ‐զ—զaզ—զ‐զː—զ—զめ‐—‐զ*զ—‐զaզː—զ‐զ‐զ‐զ—aզː—զ‐զ‐զː—զ‐զ‐=iβ~βまи=', '~զaզめզ‐զ‐զ‐զ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aզaզaզaզ—aզ‐զː—զ—զ‐զ‐զ‐զː—զa—զ‐զ—զ—զːaզ—զめզaզː—զːզː—զ‐զ‐զːզめզ‐զa=β~βቀ=', 'ψː—զめզ—զ*զa‐զ*‐զ‐զːզaզ—aզaզめզめզめզめ—զaզa—զめ‐զ*զ‐զ*զめզaզ‐զ‐զめզaզːզ~яиβиβия', 'ψː—aզめզ‐զː‐aզːaզ—aː—զ—զːզːզめզaզa—ːզ*—aզ—ːզめ‐զ‐aզ‐զ‐a‐め‐զːզめզ‐զ‐ːզːզ‐զ‐զ‐զaզː‐—զ‐զ‐ːզ‐զ‐aզめզ‐զ‐զaզ‐զ‐ː—ːզめզaզ‐զ≥›βEиaи=ቀ', '~զ‐め‐めզ‐զaզめզ*զ—զめզːaːaզ—զめզ—ːaզːզaզaզ—զːզ‐զ—ːզːզaզめզめզめa‐զめզ‐զめ~青~βββ', 'ψզ—‐め‐զ‐め‐զ‐め‐զːզaզ—զ‐զːզめզ‐զ—զ‐め‐զめ‐めզ*—ːզ‐め—զːզː—զ‐զ—զ—め—զːզめ‐め‐զ‐զめ*—aզːզːզ‐զːզː—զめզめːզ—զːզ‐—‐ːզめզ—զ—զ—ːզːզ—զː‐め‐—զめզめ‐զ‐a‐め‐め‐զ‐めզ‐զ‐զ‐≥青~', '~aզaːզa—a—aզめզめզ—aզaզːզːզa—ːaːaզ*—aːaզaզːզaզ—aːզː—ːզ~=β~β~β~β', 'β‐—‐զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զ‐զめ‐զ—զaզめ‐զ—a—めզ‐めզ‐զめզaզ‐զ‐զ‐めզ‐զ‐めզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aᆨiиiиまi', '~զː—զaզ—a—aզaզːզa—aːaզ—ːզ—զ*—զ—ːaզaզaզːaːaզaː—aզ=~β~β~', '~զ‐զ—ːզ—զめզ‐զaզ—զːaզːզ—զːզ—զː*—զːզ—զaզaզːզaզ—զ‐զːզ‐զa—ː*ːaզ—զ—զːզaːaզ‐զ—զめզːզ‐զ=‐զa=β=~=β=β', '~め‐զめиめզめ‐めզめզめզめaめզ‐զめa—զa—զめզめզلaզめa—զめa—զめaզめզめզめզ—զaզ—めզ—զめզめզ—զめզ—զ—զiи~β', '~զ‐զ‐զめ‐զめ‐—‐զ‐զ‐զ—զ‐զ‐զ—զめզめզ—զ—զa‐զ‐զ‐զ‐զ‐զめզ‐զ—զめզめː—զめ—զːզめզ—զ—զːզ‐զ‐զaզ—ːզ‐զːaզめզaզaզ‐զ‐զめզ‐զ‐զːզ‐զ‐ːզ‐aզ‐զ‐զa=β~β=β', '~ː—‐զ‐զ‐a‐զ‐a‐զ‐զ‐ːզaզ*զaզː—զ—ːaզːaզ‐զ*aզ—ː—aզːզːզːզめզ‐զaiaia', '~—‐զ‐զ‐զ‐զ‐զめ‐զːզ—ː—զ—aզːզaզ‐զ—զめզ—զa‐めզ‐զ—ːզ—ːզめ*めզ‐զめզめզ—զːզ‐զaզめզめզ‐զめզ‐զ—զːզ‐զ—զ‐զ‐զめa青β~β', '~զ‐զ‐զ‐զ‐め‐զaզaզ‐めզ*—=զめզ—զめզ‐զ‐զ—ːզ‐զめզめզ‐զ—զめզめզめզめզ‐զ—զːզːզ厳զ=‐զめ—めզめզめզめզめզːզめːզ‐զ—めːզ‐զ‐զめզ—զめ‐զめզ‐めզめ‐め‐զ‐—ψiまиi', 'ψaːզ—զ—զ—զめզ‐զ—զ—զ—‐զ‐—զ—ːզ‐զ‐զaզ—aզːզːզ—զːaզːզ—զaզ—զ—զːզ—め—զ—զ‐զ‐զ‐զ—զ—զ—զ‐めզ—iまiまя=i=', '~‐めզːզ‐めզ‐զ‐զ‐զ‐め‐զめզめզ‐めզːզ‐զ‐めզ‐め—aզ‐զめզ‐*զ‐զ‐զ‐*‐=‐aめ=զ‐զ‐=青βEiβ', '~զ‐զ‐զ‐զaզ‐զ‐զ‐զaզa—զ—զːզaզ—զaզ*զ—զ*զ—զaզめզ‐զ‐զ‐զː—զːզ=', 'ψզめզ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զめզːզːզ—զめզ*զː—զめզめզ—զ‐զめզめզ*‐め‐զ‐=i~i~a', '~‐զ‐զ‐զ‐め‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐զめզめզめ‐զ‐զめզめզ‐զめզ—զめզ‐զめ‐զ‐զめզːめ‐զ‐զめզ‐զ‐զ‐զ‐զめզめզ‐めզ‐զ‐զめզめ‐めզ‐զ‐զ‐զ—‐զめ‐め‐め‐め‐め‐~i', '~‐զ‐め‐զ‐զ‐զ‐めզ‐զːզ‐զめզ‐զ‐զːa‐—զ—զめզ*զ‐զːզめզめզ‐զ‐めզ‐ː‐զːզ‐め‐զめ‐զめ‐=›i›~›i~ま~', '~‐զ‐զ‐め‐め‐զ‐զ‐զ‐めզ‐զめզめզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐զaզ‐զ‐զ‐զ‐めզ—‐զ‐զ‐զめզ‐զ‐զめզめզ‐め‐զ‐զ—め—‐զ‐զめզː‐զ‐զめ‐め‐aiβiβiβiβiβまa', '~‐めզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐め‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ*め‐զめզめզaզめզaզ‐զa‐զ‐ː‐զ‐զ‐զ‐=β~β=β~', '~ːa—ːめզ‐め‐め‐め‐—‐め‐զaめ—զ‐め‐め‐め‐め‐զ‐めːզ‐զːզ—aզ‐զː*—զaզːզːզ—aː—զ‐զ=яøβ=β=β', '~aզめզ—ː‐め‐a‐め‐め‐め‐め‐め‐め‐め‐め‐—‐զ‐զː—aːզめզめզめզ—aզめզ‐զ—ːզ‐զ‐զ‐զːզめզ—aզめ—զːaː‐զ—զ‐զめզめզ‐め‐め‐ːaめːaզめզ—զːզ‐=iβiᆨβя.иa.яβ', 'ψ‐զ‐զ‐め‐զ‐—զːզ‐զ‐զ‐զ*aզ‐め—めզaːզ‐զ‐զ‐զ‐めզː‐զ‐—զ‐զ‐զ‐զ‐զ‐ːզ‐զ‐զめ—ːզ‐զ‐զ‐զめզ—aզ‐ː‐զː—ːզ‐զːզ‐զː‐զ‐ːզ‐—զ‐め‐=ββ=β', '=զめզめզː‐զ—զめզめզːզːզːaզめa—զ‐զ—لaզ—զ—aզːզː—ːզめaːզ—ːզːզ*զːaզめզ‐զめզ—ːզめ—‐め‐a—ːզ—զめː‐め‐a‐զa~β~β', '~‐զ‐զ‐めզ‐め‐め‐a‐զめզ‐զ‐զ‐զ‐զ—զ—զめզːզ‐զ‐զːզ—ː—ːզめզ—զːզ—ːզ‐զ‐զ—զ‐զ‐զめː—զめզ‐զ—զ‐զ‐զ‐զめզːզːզ��զ‐զ‐め—ː—զ‐զ‐զめզ—ːզ‐զːզː—զː—զめզ‐aβ~まaまяEβ', '~զaզめզːզめզːզ‐զめ—զaզめզ‐զːզめզ—զ‐զ‐զ—զːaզːզːզめզめզːզːզ—զ‐め‐զめa青β~β~β', '~‐զ‐զめզ*զ‐զ‐զ‐めզめզa‐めզ‐めզ‐ː‐զ‐զ‐ːզめզ‐めզ‐զ‐զ‐ːզ‐զめ‐めզ‐զ‐զ‐զめզめզめզめզ‐զ‐զ‐զめզ‐զめզ‐զ‐め‐զ‐め‐ل‐め‐զ‐զ‐=i', '~‐ː‐զ‐a‐ːզ‐զめ—զめզめ‐զ‐զ‐զ—զ‐զ‐զːզ‐զ—զ‐զ‐զːզ‐զ‐զaզ—զ‐զaզ—զ‐զ‐—ːզ‐զ‐զ‐զ‐a青~=', '~‐զめ‐め‐め‐զ‐զ‐めզ‐զ‐զめ‐զめ‐め‐զめ‐めզ‐զめզ‐զ‐めզめ‐զ‐զ‐զめզめ‐զ‐めզ‐զめ‐զ‐զ‐զ‐めզ‐めզめ‐めզ‐めզめ‐զめզめզめ‐めզ‐め‐զ‐めզめ‐զ‐զ‐զ‐զ‐めզめ‐め‐め‐めզ‐め‐զめզ‐զ‐զ‐զ‐め‐զ‐め‐զ‐め‐—β~βиi', '~*ː—=զめզ*զめզaզ—զめզ—զ*զaզ—զːզめզːめːզめզめզめ*զaːaզめզ*զːզめզめզめզːaզめզめզめզめզめզaզ=i~', 'ψզ—ːզ—զ‐զ‐め‐զ‐զめզ*զ‐զ‐զ‐զ‐めզ‐զ‐aզ‐զ‐զ‐զ—ːզːզːզː—զ—զ—զːզめզː—զːզ‐զ‐≥i~β~яまяя=я=яβ', '~ː—めզめզめ‐めզめզめզめզめզ—a—aզめզaզ*զ*զaզaզ—ː—զaզ—a—aめզめզaː*զめզめ—ːa*aզ—զ—զ—զめզめːզめaめզaᆨяi~яaяa~a~', 'ψ‐—զ—‐ːզ—զめզめզ—ːզ‐զ‐めզ‐զ‐զ—a—a—զ‐զ—ːզ—զめզ‐めզめ=i=まa', '~զː‐զ‐a‐զ‐զ‐զ‐զ‐զめզ‐ːզ‐զ‐զ‐զ‐զːզː—aզːaզːզ—ːզ‐զːa—զ‐զ—զaզ‐զːզ‐զ=β~β', 'βː‐զ=‐զめզめզめզ‐めզめզめ—զめզめզめ—զː—զめզめ‐զ‐めզめզめզめզめզ‐めզ—զめզめaめ‐め—զaめ—զめ—めզめզ‐めզめզめ—ː‐զめ—めզめ—զめզ—զ—զめզめ—զめ—ψiβiβ', '~ːզaːめaզ‐զ‐զ‐め‐め‐め‐め‐a‐զːզめ‐めզ‐զːaզめ—aզː*aզめզめզ—ːզaզめզː—զːզːզ—զ—զ—զめզ‐զ‐ː—ːզめ‐զ‐aiβiEи=иaиa', 'ψːզめ‐ːa—զ—զ‐զ‐զ‐aզ‐—めզ‐զ‐զめːզːզめզːզめːզːզ‐զ—ː—զːզ—զːզːզ—զːզːզaզːզめզ‐զaめզːզ‐め‐զ‐a青βя=β', '~—ːզ‐զ‐զ—めզːզːզ—զaզa—めզaզaզ=β~a=', '~ːզ‐めզ‐a‐—զ‐զ—ːզ‐զ—aզa—զめզ—զaզ—զ‐զ—aːզめզ—զめզめզ—զめզ*—զ—aːզ‐զめ*զ—զːaː‐զめզ‐めզめզ‐めa‐զa~', '~‐զ‐զ‐զ‐զ‐զa‐*զ‐զ‐զ‐めa—զ‐զ‐զː—զめզa—զめզ‐めզめզめզ‐めզːզめզ‐զめզ‐めզː—զːaզːզ‐զ‐ːզːզめզめզ—զめ—‐զ‐զ—øiиiиま', '~զめզ—めզ‐զ‐զː‐զaզ‐զ‐զ‐զめզ—‐զːզ‐զめզa—զaːզaզːզː—զ‐զa—զːaզ‐զめːզ‐զ—զː‐զ‐զ—ːզːզ=βቀ']
+{'eval_loss': 20.994997024536133, 'eval_wer': 1.0, 'eval_runtime': 2.8273, 'eval_samples_per_second': 21.222, 'eval_steps_per_second': 0.354, 'epoch': 0.31}
+
+
+
+
+ 14%|████████████████████████▎                                                                                                                                                    | 9/64 [00:34<03:10,  3.46s/it]
+ 16%|██████████████████████████▉                                                                                                                                                 | 10/64 [00:40<03:34,  3.98s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 60
+  Batch size = 64
+['~զ‐զ‐a‐め‐զ‐զ‐めզ‐めզ‐զ‐め‐めզめ‐めզ‐զ‐զ‐զめզ‐め‐զ‐զ‐զ—զ‐զːめզ‐զめ‐զ‐զ‐ːめզめ‐զ‐զ‐め~青βまиi=', '~զːզ—զaզa*զaզaզːզːզ—զaզ—զ—ːզaզː—զ—զ=~β~β=ま=まиaզa', '~‐զ‐զːզめզめ‐զːզaզ—զ‐զːզːզ—զaզ—‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐—‐—iиまи', 'ψ‐ː‐զ‐—‐զ‐め‐զ‐め—զa—զめզめզ‐զ‐զ‐զめզ‐զ‐զ‐զめզ—զ‐զめ—զ—զめզ—めːզめզ—զːaզaզ‐զ‐めզ‐զめզめզめ‐զめ‐め‐め‐め‐め‐=ᆨiま=ま', 'ψaզ‐զ‐զ‐a‐զːզ‐զ‐զːզ—զ‐զ‐զ‐զ—aզ‐めզːaːaզめaզ‐զːզːզ‐զめզ—ː—զ甌‐めզめզ‐*զ‐զ‐aզ‐զ‐զ‐a~β~β~E~E=', 'ψːզːզ‐զ‐զめ—զ‐め‐ːզ‐զ‐զ*զːզ‐զ‐զaզ*զ—ːզ‐զaզ*զaːզːզːզːզ‐զːզめզ‐զ‐めզːզ‐զめզ‐զ=iᆨ~βᆨβᆨβまβ=', 'β‐զめզめզ‐զ—զ—զ—զ‐զ‐զ—ːզ‐զめզ‐զ—զːզːզ‐զ‐զめ‐զ‐—զ—զめ‐զめզ‐զめ‐めզめ‐զ‐め‐め‐զめզ‐զ‐զːզ‐めզめզ‐զ—զ‐զめ‐զ‐aiиiиま', '~‐զ‐զ‐զ‐զ‐a‐զ‐めզめզ‐զめːզ‐զ‐めզ‐զめզ‐զ‐զːզ‐զめզ‐զ—ːզ‐զ‐զ—զ‐զ‐զめզ‐め‐め‐զ‐a‐aզ‐a‐a‐=β~β', '~զめaиaզ—めզめզめզめզめզめզめզめզめ—めզ—ːaզめզめզːaզめ—めզめզめզめզめզ—め—めզめզːaզめ—զめզめզめ—ːզめզめզめզめզめːaզめզ—a—զめզめզめզめզめզめզめզめզめզめզめզ—めզめզめզめaᆨиβ', '~‐ːզめզ—զ‐ːզめ‐め‐め‐и‐զ‐め—ːզ‐զ‐զ‐զ‐զːզaզa—զめզ‐զ‐զ—զめզめզa‐զ‐զめզ‐めզ—զめզめզ‐ːめզ‐զ‐զめզめ—め‐զめːզ‐—めզめզ‐զ‐զːզ‐めզめզ‐զ‐զ‐զ‐めզめ‐め‐զ‐զ‐めզaめ*めզめ‐めզめզ‐=iEiቀまቀま甌β', '~‐զ‐զめզ‐զめզめզ‐めː—aզ*ːզ‐զ‐զめզ‐めզ‐めզめզː—ːզːaզめզめզめզめզめːզ‐めզめ—զ‐զ‐զaզ*զ‐զ‐め‐զ‐զ‐զめզː‐զ—ːզ‐զ‐զめզːզ‐զ‐զ‐զ‐զ‐զ‐զːめզめզめզめզ=զめ‐めզめ‐め‐զめզめ‐զ‐めզめզ‐զ‐=i~i~i~', 'ψզ‐a—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐め‐զ‐զ‐զめ‐զ‐め‐*‐զ‐զ‐զ‐զ—ːզ‐զ‐զ—զめզめզ‐զめ‐め‐զめզめզːզめզːaզːめզめզ‐զ‐—‐め‐め‐—զめ‐め‐զ‐զ‐め‐め‐զ‐—‐զ‐ː‐զ—զːզ‐զ‐զ‐=iиiиi甌i甌β', '~‐и‐զ‐a‐め‐*զ‐*‐めզ甌զめզ‐*զ‐զ‐զ‐զ*めզ‐զ*‐甌‐զ‐զ—զ*զ‐զ‐զ‐զ*զ‐զ*զ‐զめզめզめզめզ‐զめզめզ‐めզめզ‐զ‐զ*զめզめզ—‐զ‐զ‐զ‐—զ‐զめզめզ*‐զめզ‐զ‐*‐զ‐めզ‐զ‐*‐め‐*‐め‐め‐め‐め‐め‐—‐ː‐զ—‐甌‐め‐め‐aiτi', '~‐—‐—‐զ‐զ‐զ‐ː‐めզːզめզめզ—զ‐զ‐զ—զ—ː—զめզめզ‐զːզːզ‐զːզめ‐զːզ‐զ‐զːめզːզめզ—զːզːզめ‐めզ‐զːめːզめզめ—զめզ‐զ‐զ‐զ‐զ—զːզːզ‐ː—‐զ‐զ‐aզ‐aiβ~まaまиiβ', '~‐ːզめզめզ‐զa*զ—aզːզːզ—զaːaːզめզ—զa—aզːaզ—aːզːզːզ—զːզːզ‐զa青β~青まaи=', '~a—めaզ‐aզ‐զ‐զめզ‐a‐զ‐զaզaːզːզ‐զːզ‐めզːզ‐զaզaզa‐զːզ—զ‐զ‐զ*զ‐զ—զめզめզaզ‐ːզaːaզ‐a=~и', '~=ːaզ‐զ‐զ‐—‐զ‐a‐a‐զ‐զ‐—զaզaզ‐զ—զaզ—զ‐զː—զ—զめ‐—‐զ*զ—‐զaզː—զ‐զ‐զ‐զ—aզː—զ‐զ‐զː—զ‐զ‐=iβ~βまи=и=', '~զaզめզ‐զ‐զ‐զ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aզaզaզaզ—aզ‐զː—զ—զ‐զ‐զː—զa—զ‐զ—զ—զːaզ—զめզaզː—զːզː—զ‐զ‐զːզめզ‐զa=β~βቀ=', 'ψː—զめզ—զ*զaզ‐զ*‐զ‐զːզaզ—aզaզめզめզめզめ—զaզa—զめ‐զ*զ‐զ*զめզaզ‐զ‐զめզaզːզ~яиβия', 'ψːզ—aզめզ‐զː‐aզːaզ—aː—զ—զːզːզめզaզa—ːզ*—aզ—ːզめ‐զ‐aզ‐զ‐a‐め‐զːզめզ‐զ‐ːզːզ‐զ‐զ‐զaզː‐—զ‐զ‐ːզ‐զ‐aզめզ‐զ‐զaզ‐զ‐ː—ːզめզaզ‐զ≥›βEиaи=ቀ', '~զ‐め‐めզ‐զaզめզ*զ—զめզːaːaզ—զめզ—ːaզːզaզaզ—զːզ‐զ—ːզːզaզめզめզめa‐զめզ‐զめ~青~ββ', 'ψզ—‐め‐զ‐め‐զ‐め‐զːզaզ—զ‐զːզめզ‐զ—զ‐զ‐զめ‐めզ*—ːզ‐め—զːզː—զ‐զ—զ—め—զːզめ‐め‐զ‐զめ*—aզːզːզ‐զːզː—զめːզ—զːզ‐—‐ːզめզ—զ—զ—ːզːզ—զ—զ‐め‐—զめզめ‐զ‐a‐め‐め‐զ‐めզ‐զ‐զ‐≥青~', '~aզaːզa—a—aզめզめզ—aզaզːզːզa—ːaːaզ*—aːaզaզːզaզ—aːզː—ːզ~=β~β~β~β~β', 'β‐—‐զ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զ‐զめ‐զ—զaզめ‐զ—a—めզ‐めզ‐զめզめզaզ‐զ‐զ‐めզ‐զ‐めզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aᆨiиiиまi', '~զːaզaզ—a—aզaզːզa—aːaզ—ːզ—զ*—զ—ːaզaզaզːaːaզaː—aզ=~β~β~', '~զ‐զ—ːզ—զめզ‐զaզ—զːaզːզ—զːզ—զː*—զːզ—զaզaզːզaզ—զ‐զːզ‐զa—ː*ːaզ—զ—զːզaːaզ‐զ—զめզːզ‐զ=‐զa=β=~=β=β', '~め‐զめиめզめ‐めզめզめզめaめզ‐զめa—զa—զめզめզلaզめa—զめa—զめaզめզめզめզ—զaզ—めզ—զめզめզ—զめզ—զ—զiи~β', '~զ‐զ‐զめ‐զめ‐—‐զ‐զ‐զ—զ‐զ‐զ—զめզめզ—զ—զa‐զ‐զ‐զ‐զ‐զめզ‐զ—զめզめː—զめ—զːզめզ—զ—զːզ‐զ‐զːaզ—ːզ‐զːaզめզaզaզ‐զ‐զめզ‐զ‐զːզ‐զ‐ːզ‐aզ‐զ‐զ‐զa=β~β=β', '~ː—‐զ‐զ‐a‐զ‐զ‐a‐զ‐զ‐ːզaզ*զaզː—զ—aզːaզ‐զ*aզ—ː—aզːզːզːզめզ‐զaiaia', '~—զ‐զ‐զ‐զ‐զめ‐զːզ—ː—զ—aզaզ—զめզ—զa‐めզ‐զ—ːզ—ːզめ*めզ‐զめզめզ—զːզ‐զaզめզめզ‐զめզ‐զ—զːզ‐զ—զ‐զ‐զめa青β~β', '~զ‐զ‐զ‐զ‐め‐զaզaզ‐めզ*—=զめզ—զめզ‐զ‐զ—ːզ‐զめզめզ‐զ—զめզめզめզめզ‐զ—զːզːզ厳զ=‐զめ—めզめզめզめզめզːզめːզ‐զ—めːզ‐զ‐զめզ—զめ‐զめզ‐めզめ‐め‐զ‐—ψiまиi', 'ψaːզ—զ—զ—զめզ‐զ—զ—‐զ‐—զ—զːզ‐զ‐զaզ—aզːզːզ—զːaզːզ—զaզ—զ—զːզ—め—զ—զ‐զ‐զ‐զ—զ—զ—զ‐めզ—iまiま=i=', '~‐めզːզ‐めզ‐զ‐զ‐զ‐め‐զめզめզ‐めզːզ‐զ‐めզ‐め—aզ‐զめզ‐*զ‐զ‐զ‐*‐=‐aめ=զ‐զ‐=青βEiβ', '~զ‐զ‐զ‐զaզ‐զ‐զ‐զa—aզa—զ—զːզaզ—զaզ*զ—զ*զ—զaզめզ‐զ‐զめզ‐զː—զːզ=', 'ψզめզ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զめզːզːզ—զめզ*զː—զめզめզ—զ‐զめզめզ*‐め‐զ‐=i~i~a', '~‐զ‐զ‐զ‐め‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐զめզめզめ‐զ‐զめզ‐めզ‐զめզ—զめզ‐զめ‐զ‐զめզːめ‐զ‐զめզ‐զ‐զ‐զめզめզ‐めզ‐զ‐զめզめ‐めզ‐զ‐զ‐զ—‐զめ‐め‐め‐め‐め‐~i', '~‐զ‐め‐զ‐զ‐զ‐めզ‐զːզ‐զめզ‐զ‐զːa‐—զ—զめզ*զ‐զːզめզめզ‐զ‐めզ‐ː‐զːզ‐め‐զめ‐զめ‐=›i›~›i~ま~', '~‐զ‐զ‐め‐め‐զ‐զ‐զ‐めզ‐զめզめզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ‐զ—զ‐զaզ‐զ‐զ‐զ‐めզ—‐զ‐զ‐զめզ‐զ‐զめզめզ‐め‐զ‐զ—め—‐զ‐զめզː‐զ‐զめ‐め‐aiβiβiβiβiβまa', '~‐めզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ*め‐զめզめզaզめզaզ‐զa‐զ‐ː‐զ‐զ‐=β~β=β~', '~ːa—ːめ‐め‐め‐め‐—‐め‐զaめ—զ‐め‐め‐め‐め‐զ‐めːզ‐զːզ—aզ‐զː*—զaզːզːզ—aː—զ‐զ=яøβ=β=β', '~aզめ—զ—ː‐a‐め‐め‐め‐め‐め‐め‐め‐め‐—‐զ‐զː—aːզめզめզめզめզ—aզめզ‐զ—ːզ‐զ‐զ‐զːզめզ—aզめ—զːaː‐զ—զ‐զめզめզ‐め‐め‐ːaめːaզめզ—զːզ‐=iβiᆨβя.иa.яβ', 'ψ‐զ‐զ‐め‐զ‐—զːզ‐զ‐զ‐զ—aզ‐め—めզaːզ‐զ‐զ‐զ‐—զː‐զ‐—զ‐զ‐զめզ‐զ‐զ‐ːզ‐զ—ːզ‐զ‐զ‐զめզ—aզ‐ː‐զめզː—ːզ‐զːզ‐զː‐ːզ‐—զ‐めa‐=ββ=β', '=զめզː‐զ—զめզめզːզːզːaզめː—զ‐զ—لaզ—զ—aզːզː—ːզめaːզ—ːզːզːզめːaզめզ‐զめզ—ːզめ—‐め‐a—ːզ—զめː‐め‐զ‐a‐զa~β~β', '~‐զ‐զ‐めզ‐め‐め‐a‐զめզ‐զ‐զ‐զ‐զ—զ—զめզːզ‐զ‐զːզ—ː—ːզめզ—զːզ—ːզ‐զ‐զ—զ‐զ‐զめː—զめզ‐զ—զ‐զ‐զ‐զめզːզːզ‐զ‐զ‐めզː—զ‐զ‐զめզ—ːզ‐զːզː—զː—զめզ‐a青β~まaまEяEβ', '~զaզめզːզめզːզ‐զめ—aզめզ‐զːզめզ—զ‐զ‐զ—զːaզːզːզめզめզːզːզ—զ‐めզ‐զめa青β~β~β', '~‐զ‐զめզ*զ‐զ‐զ‐めզめզa‐めզ‐めզ‐ː‐զ‐զ‐ːզめզ‐めզ‐զ‐զ‐ːզ‐զめ‐めզめզ‐զ‐զめզめզめզめզ‐զ‐զ‐զめզ‐զめզ‐զ‐め‐զ‐め‐ل‐め‐զ‐զ‐=i', '~‐ː‐զ‐a‐ːզ‐զめ—զめզめ‐զ‐զ‐めզ—զ‐զ‐զːզ‐զ—զ‐զ‐զːզ‐զ‐զaզ—զ‐զaզ—զ‐զ‐—ːզ‐զ‐զ‐զ‐a青~=', '~‐զめ‐め‐め‐զ‐զ‐めզ‐զ‐զめ‐զめ‐め‐զめզ‐めզ‐զめզ‐զ‐めզめ‐զ‐զ‐զめզめ‐զ‐めզ‐զめ‐զ‐զ‐զ‐めզ‐めզめ‐めզ‐めզめ‐զめզめզ‐զめզめ‐めզ‐め‐զ‐めզめ‐զ‐զ‐զ‐զ‐めզめ‐め‐め‐めզ‐め‐զめզ‐զ‐զ‐զ‐め‐զ‐め‐զ‐め‐—β~βиi', '~*ː—=զめզ*զめզaզ—զめզ—զ*զaզ—զːզめզːめːզめզめզめզめ*զaːaզめզ*զːզめզめզめզːaզめզめզめզめզめզaզ=i~', 'ψզ—ːզ—զ‐զ‐め‐զ‐զめզ*զ‐զ‐զ‐զ‐めզ‐զ‐aզ‐զ‐զ‐զ—ːզːզːզːզ—զ—զːզめզː—զːզ‐≥i~β~まяя=я=я=яβ', '~ː—めզめզめզめզめզめզめզ—a—aզめզaզ*զ*զaզaզ—ː—զaզa—aめզめզaː*զめզめ—ːa*aզ—զ—զ—զめզめːզめaめզaᆨяi~яaまa~a~', 'ψ‐—զ—‐ːզ—զめզめզ—ːզ‐զ‐めզめզ‐զ‐զ—a—a—զ‐զ—ːզ—զめզ‐めզめ=i=まa', '~զː‐զ‐a‐զ‐զ‐զ‐զ‐զめզ‐ːզ‐զ‐զ‐զ‐զːզː—aզːaզːզ—ːaզ‐զːa—զ‐զ—զaզ‐զ‐զ=β~β', 'βː‐զ=‐զめզめզめզ‐めզめզめզめզめ—զːզめզめ‐զ‐めզめզめզめզめզ‐めզ—զめզめaめ‐め—զaめ—զめ—めզめզ‐めզめզめ—ː‐զめ—めզめ—զめզ—զ—զめզめ—զめ—ψiβiβ', '~ːզaːめaզ‐զ‐զ‐め‐め‐め‐a‐զːզめ‐めզ‐զːaզめ—aզː*aզめզめզ—ːզaզめզː—զːզːզ—զ—զ—զめզ‐զ‐ː—ːզめ‐զ‐aiβiEиaиa', 'ψːզめ‐ːa—զ‐զ‐զ‐aզ‐—めզ‐զ‐զめːզːզめզːզめːզːզ‐զ—ː—զːզ—զːզːզ—զːզːզaզːզめզ‐զaめզːզ‐め‐զ‐զ‐a青βя=β', '~—ːզ‐զ‐զ—めզːզːզ—զaզa—զaզaզ=β~a=', '~ːզ‐զ‐めզ‐a‐—զ‐զ—ːզ‐զ—aզa—զめզ—զaզ—զ‐զ—aːզめզ—զめզめզ—զめզ*—զ—aːզ‐զめ*զ—զːaː‐զめզ‐めզめզ‐めa‐զa~', '~‐զ‐զ‐զ‐զ‐զa‐*զ‐զ‐զ‐めa—զ‐զ‐զː—զめզa—զめզ‐めզめզめզ‐めզːզめզ‐զめզ‐զː—զːaզːզ‐զ‐ːզːզめզめզ—զめ—‐զ‐զ—øiиiиま', '~զめզ—めզ‐զ‐զː‐զaզ‐զ‐զめզ—‐զːզ‐զめզa—զaզaզːզː—զ‐զa—զːaզ‐զめːզ‐զ—զ‐զ‐զ—ːզːզ=βቀ']
+{'eval_loss': 20.991931915283203, 'eval_wer': 1.0, 'eval_runtime': 2.7507, 'eval_samples_per_second': 21.812, 'eval_steps_per_second': 0.364, 'epoch': 0.62}
+
+
+
+
+ 22%|█████████████████████████████████████▋                                                                                                                                      | 14/64 [00:56<03:19,  3.99s/it]
+ 23%|████████████████████████████████████████▎                                                                                                                                   | 15/64 [00:59<02:48,  3.43s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 60
+  Batch size = 64
+
+
+
+
+ 30%|███████████████████████████████████████████████████                                                                                                                         | 19/64 [01:16<02:46,  3.69s/it]
+['~զ‐զ‐a‐め‐զ‐զ‐めզ‐め‐զ‐め‐めզめ‐めզ‐զ‐զ‐զめզ‐め‐զ‐զ‐զ—զ‐զːめզ‐զめ‐զ‐զ‐ːめզ‐զ‐զ‐め~青βまиi=', '~զːզ—զaզa*զaզaզːզːզ—զaզ—զ—ːզaզː—զ—զ=~β~β=ま=まиaզa', '~‐զ‐զːզめզめ‐զːզ‐զaզ—զ‐めզːզːզ—զaզ—‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐—‐—iиまи', 'ψ‐ː‐զ‐—‐զ‐め‐զ‐—զa—զめզめզ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զ‐զめզ—զ‐զめ—զ—զめզ—めːզめզ—զːaզaզ‐զːզ‐め‐զめզめզめ‐զめ‐め‐め‐め‐め‐=ᆨiま=ま', 'ψaզ‐զ‐զ‐a‐զːզ‐զ‐զːզ—զ‐զ‐զ‐զ—aզ‐զːaːaզめaզ‐զːզːզ‐զめզ—ː—զ甌‐めզめզ‐*զ‐a‐aզ‐զ‐զ‐a~β~β~E~E=', 'ψːզːզ‐զ‐զめ—զ‐ːզ‐զ‐զ*զːզ‐զ‐զaզ*զ—ːզ‐զaզ*զaːզːզːզːզ‐զːզめզ‐զ‐զːզ‐զめզ‐զ=iᆨβ~βᆨβᆨβ=', 'β‐զめզめզ‐զ—զ—զ—զ‐զ‐զ—ːզ‐զめզ‐զ—զːզːզ‐զ‐զめ‐զ‐—զ—զめզめզ‐զめ‐めզめ‐զ‐め‐め‐զめզ‐զ‐զ‐めզめզ‐զ—զ‐զめ‐զ‐aiиiиまиま', '~‐զ‐զ‐զ‐զ‐a‐զ‐め‐զめզ‐めզめːզ‐զ‐めզ‐զめզ‐զ‐զːզ‐զめզ‐զ—ːզ‐զ‐զ—զ‐զ‐զ‐զめզ‐め‐め‐զ‐a‐aզ‐a‐a‐=β~β', '~զめaиaզめզめզめզめզめզめզめզめզめ—めզ—aզめզめզːaզめ—めզめզめզめզめզ—め—めզめզːaզめ—զめզめզめ—ːզめզめզめզめզめaզめզめզ—a—զめզめզめզめզめզめզめզめզめզめզめզめզめզめզ—めզめզめզめaᆨиβ', '~‐ːզめզ—զ‐ːզめ‐め‐め‐и‐զ‐め—ːզ‐զ‐զ‐զ‐զːզaզa—զめզ‐զ—զめզめզa‐զ‐զめզ‐めզ—զめզ‐զめզ‐ːめզ‐զ‐զめզめզめ—め‐զめːզ‐—めզめզ‐զ‐զːզ‐めզめզ‐զ‐զ‐զ‐զ‐めզめ‐め‐զ‐զ‐զめզaめ*めզめ‐めզめզ‐=iEiቀま甌ま甌β', '~‐զ‐զめզ‐զめզめզ‐めː—aզ*ːզ‐զ‐զめզ‐めզ‐めզめզː—ːզːaզめզ‐զめզめզめːզ‐めզめ—զ‐զ‐զaզ*զ‐զ‐め‐めզ‐զ‐զめզː‐զ—ːզ‐զ‐զめզːզ‐զ‐զめ‐զ‐զ‐զ‐զːめզめզめզめզ=զめ��めզめ‐め‐զめզめ‐զ‐めզめզ‐զ‐=i~i~i~', 'ψզ‐a—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐め‐զ‐զ‐め‐զめ‐զ‐め‐*‐զ‐զ‐զ‐զ—ːզ‐զ‐զ—զめզめզ‐զめ‐め‐զめզめզːզめզːaզːめզめզ‐զ‐—‐め‐め‐—զめ‐め‐զ‐め‐め‐զ‐—‐ː‐զ—զːզ‐զ‐զ‐=iиiиi甌i甌β', '~‐и‐զ‐a‐め‐*զ‐*‐めզ甌զめզ‐*զ‐զ‐զ‐զ‐*めզ‐զ*‐甌‐զ‐զ—զ*զ‐զ‐զ‐զ*զ‐զ*զ‐զめզめզめզめզ‐զめզめզ‐めզめզ‐զ‐զ*զめզめզ—‐զ‐զ‐զ‐—զ‐զめզめզ*‐զめզめզ‐*‐զ‐めզ‐զ‐*‐め‐*‐め‐め‐め‐め‐め‐—‐ː‐զ—‐*‐め‐め‐aiτi', '~‐—‐—‐զ‐զ‐զ‐ː‐めզːզめզめզ—զ‐զ‐զ—զ—ː—զめզめզ‐զめզːզːզ‐めզːզめ‐զ‐զːզ‐զ‐զːめզːめզめզ—զːզːզめ‐めզ‐զːめːզめզめ—զめզ‐զ‐զ‐զ‐զ—զːզːզ‐զ‐ː—‐զ‐զ‐a‐զ‐aiβ~βまaまиiβ', '~‐ːզめզめզ‐զaզ—aզːզːզ—զaːaːզめզ—զa—aզaːaզ—aːզːզːզ—զːզːզ‐զa青β~青まaи=', '~a—めaզ‐aզ‐զ‐զめզ‐a‐զ‐զaզaːզːզ‐զːզ‐めզːզ‐զaզ‐զaզa‐զːզ—զ‐զ‐զ*զ‐զ—զめզめզaզ‐ːզaːaզ‐a=~~и', '~=ːaզ‐զ‐զ‐զ‐a‐a‐զ‐զ‐—զめaզaզ‐զ—զaզ—զ‐զː—զ—զめ‐—‐զ*ːզː‐զaզː—զめզ‐զ‐զ‐զ—aզː—զ‐զ‐զ‐զː—զ‐զ‐=iβ~βまи=и=', '~զaզめզ‐զ‐զ‐զ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aզaզaզaզ—aզ‐զː—զ‐զ—զ‐զ‐զ‐զː—զa—զ‐զ—զ—զ‐զːaզ—զめզaզː—զːզː—զ‐զ‐զːզめզ‐զa=β~βቀ=', 'ψː—զめզ—զ*զaզ‐զ*‐զ‐զːզaզ—aզaզめզめզめզめ—զaզa—զめ‐զ*զ‐զ*զめզaզ‐զ‐զめզaզːզ~яиβия', 'ψːզ—aզめզ‐զː‐aզaզ—aː—զ—զːզːզめզaզa—ːզ*—aզ—ːզめ‐զ‐aզ‐զ‐ː‐め‐զːզめզ‐զ‐ːզːզ‐զ‐զ‐զaզː‐—զ‐զ‐ːզ‐զ‐aզめզ‐զ‐զaզ‐զ‐ː—ːզめզaզ‐զ≥›βEиaи=ቀ', '~զ‐め‐めզ‐զaզめզ*զ—զめզːaːaզ—զめզ—ːaզːզaզaզ—զːզ‐զ—ːզːզaզめզめզめa‐զめզ‐զめ~青~ββ', 'ψզ—‐め‐զ‐め‐զ‐め‐զːզaզ—զ‐զːզめզ‐զ—զ‐め‐զめ‐めզ*—ːզ‐め—զːզː—զ‐զ—զ—め—զːզめ‐め‐զ‐զめ*—aզːզːզ‐զːզː—զめզめːզ—զːզ‐—‐ːզめզ—զ—զ—ːզːզ—զ‐め‐—զめզめ‐զ‐a‐め‐め‐զ‐め‐զ‐զ‐≥青~', '~aզaːզa—a—aզめզめզ—aզaզːզːզa—ːaːaզ*—aːaզaզːզaզ—aːզː—ːզ~=β~β~β~β~β', 'β‐—‐զ‐զ‐զ‐զ‐զ‐զ‐めզ‐զ‐զ‐զ‐զめ‐զ—զaզめ‐զ—a—めզ‐めզ‐զめզめզaզ‐զ‐զ‐めզ‐զ‐めզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aᆨiиiиまi', '~զː—զaզ—a—aզaզːզa—aːaզ—ːզ—զ*—զ—ːaզaզaզːaːaզaː—aզ=~β~β~', '~զ‐զ—ːզ—զめզ‐զaզ—զːaզːզ—զːզ—զː*—զːզ—զaզaզːզaզ—զ‐զːզ‐զa—զː*ːaզ—զ—զːզaːaզ‐զ—զめզːզ‐զ=‐զa=β=~=β=β', '~め‐զめиめզめ‐めզめզめզめaめզ‐զめa—զa—զめզめզلaզめaզめa—զめaզめզめզめզ—զaզ—めզ—զめզめզ—զめզ—զ—զiи~β', '~զ‐զ‐զめ‐զめ‐—‐զ‐զ‐զ‐զ—a—զ‐զ‐զ—զめզめզ—զ—զa‐զ‐զ‐զ‐զ‐զめզ‐զ—զめզめː—զめ—զːզめզ—զ—զːզ‐զ‐զːaզ—ːզ‐զːaզ‐զめզaզaզ‐զ‐զめզ‐զ‐զːզ‐զ‐ːզ‐aզ‐զ‐զ‐զa=β~β=β', '~ː—‐զ‐զ‐a‐զ‐զ‐a‐զ‐զ‐ːզaզ*զaզː—զ—ːaզːaզ‐զ*aզ—ː—aզːզːզːզめզ‐զaiaia', '~—‐զ‐զ‐զ‐զ‐զめ‐զːզ—ː—զ—aզːզaզ—զめզ—զa‐めզ‐զ—ːզ—ːզめ*めզ‐զめզめզ—զːզ‐զaզめզめզ‐զめզ‐զ—զːզ‐զ—զ‐զ‐զめa青β~β', '~զ‐զ‐զ‐զ‐め‐զaզaզ‐めզ*—=զめզ—զめզ‐զ‐զ—ːզ‐զめզめզ‐զ—զめզめզめզめզ‐զ—զːզːզ厳զ=‐զめ—めզめզːզめզめզめզːզめːզ‐զ—めːզ‐զ‐զめ‐զ—զめ‐զめզ‐めզめ‐め‐զ‐—ψiまиiиi', 'ψaːզ—զ—զ—զめզ‐զ—զ—‐զ‐—զ—զːզ‐զ‐զaզ—aզːզːզ—զːaզːզ—զaզ—զ—զːզ—め—զ—զ‐զ‐զ‐զ—զ—զ—զ‐めզ—iまiま=я=i=', '~‐めզːզ‐めզ‐զ‐զ‐զ‐め‐զめզめզ‐めզːզ‐զ‐めզ‐め—aզ‐զめզ‐*զ‐զ‐զ‐*‐=‐aめ=զ‐զ‐=青βEiβ', '~զ‐զ‐զ‐aզ‐զ‐զ‐զaզa—զ—զːզaզ—զaզ*զ—զ*զ—զaզめզ‐զ‐զ‐զː—զːզ=', 'ψզめզ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զめզːզːզ—զめզ*—ː—զ��զめզ—զ‐զめզめզ*‐め‐զ‐=i~i~a', '~‐զ‐զ‐զ‐め‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐զめզめզめ‐զ‐զめզ‐めզ‐զめզ—զめզ‐զめ‐զ‐զめզːめ‐զ‐զめզ‐զ‐զ‐զ‐զめզめզ‐めզ‐զ‐զめզめ‐めզ‐զ‐զ‐զ—‐զめ‐め‐め‐め‐め‐~i', '~‐զ‐め‐զ‐զ‐զ‐めզ‐զːզ‐զめզ‐զ‐զːa‐—զ—զめզ*զ‐զːզめզめզ‐զ‐めզ‐ː‐զːզ‐զめ‐զめ‐=›i›~›i~ま~', '~‐զ‐զ‐め‐め‐զ‐զ‐զ‐めզ‐զめզめզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐զaզめզ‐զ‐զ‐զ‐めզ—‐զ‐զ‐զめզ‐զ‐զめզめզ‐め‐զ‐զ—め—‐զ‐զめզː‐զ‐զめ‐め‐aiβiβiβiβiβまa', '~‐めզ‐զ‐め‐զ‐զ‐զめզめ‐めզ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ*め‐զめզめզaզめզaզ‐զaզ‐զ‐ː‐զ‐զ‐=β~β=β~', '~ːa—ːめզ‐め‐め‐め‐—‐め‐զaめ—զ‐め‐め‐め‐め‐զめːզ‐զː—aզ‐զː*—զaզːզːզ—aː—զ‐զ=яøβ=β=β', '~aզめ—զ—ː‐め‐a‐め‐め‐め‐め‐め‐め‐め‐め‐—‐զ‐զː—aːզめզめզめզ—aզめզ‐զ—ːզ‐զ‐զ‐զːզめզ—aզめ—զːaː‐զ—զ‐զめզめզ‐め‐め‐ːaめːaզめզ—զːզ‐=iβiᆨβя.иa.яβ', 'ψ‐զ‐զ‐め‐զ‐—զːզ‐զ‐զ‐զ*aզ‐め—めզaːզ‐զ‐զ‐զ‐めզː‐զ‐—ːզ‐զ‐めզ‐զ‐ːզ‐զ‐զめ—ːզ‐զ‐զ‐զめզːaզ‐ː‐զː—ːզ‐զ‐զːզ‐զ‐ː‐ːզ‐—զ‐a‐=ββ=β', '=զめզめզː‐զ—զめզめզːզːզːaզめa—զ‐զ—لaզ—զ—aզめːզː—ːզめaːզ—ːզːզ*զːaզめզ‐զめզ—ːզめ—‐め‐a—ːզ—զめː‐め‐զ‐a‐զa~β~β', '~‐զ‐զ‐め‐め‐め‐a‐զ‐զめզ‐զ‐զ‐զ‐զ—զ—զめզːզ‐զ‐զːզːզ—ː—ːզめզ—զːզ—ːզ‐զ‐զ—զ‐զ‐զめː—զめզ‐զ—զ‐զ‐զめզːզːզ‐զ‐զ‐めզː—զ‐զ‐զめզ—ːզ‐զːզː—զː—զめզ‐aβ~まaまEяEβ', '~զaզめզːզめզːզ‐զめ—զaզめզ‐զːզめզːզ‐զ‐զaզːaզ‐զめːզːզめզめզːզめզːզ—զ‐め‐զめa青β~β~β', '~‐զ‐զめզ*զ‐զ‐զ‐めզめզa‐めզ‐めզ‐ː‐զ‐զ‐ːզめզ‐めզ‐զ‐զ‐զ‐ːզ‐զめ‐めզめզ‐զ‐զめզめզめզめզ‐զ‐զ‐զːզめզ‐զめզ‐զ‐め‐ل‐め‐զ‐զ‐=i', '~‐ː‐զ‐a‐ːզ‐զめ—զめզめ‐զ‐զ‐զ—զ‐զ‐զːզ‐զ—զ‐զ‐զːզ‐զ‐զaզ—զ‐զaզ—զ‐զ‐—ːզ‐զ‐զ‐զ‐a青~=', '~‐զめ‐め‐め‐զ‐զ‐めզ‐զ‐զめ‐զめ‐め‐զめ‐めզ‐զめզ‐めզめ‐զ‐զ‐զめզめ‐զ‐めզ‐զめ‐զ‐զ‐զ‐めզ‐めզめզめզ‐めզめ‐զめզめզ‐զめ‐めզ‐め‐զ‐めզめ‐զ‐զ‐զ‐զ‐めզめ‐め‐め‐めզ‐め‐զめզ‐զ‐զ‐զ‐め‐め‐զ‐め‐—β~βиi', '~ː—=զめզ*զめզaզ—զめզ—զ*զaզ—զːզめզːめːզめզめզめզめ*զaːaզめզ*զːզめզめզめզːaզめզめզめզめզめզaզ=i~', 'ψզ—ːզaզ‐զ‐め‐զ‐զめզ*զ‐զ‐զ‐զ‐めզ‐զ‐aզ‐զ‐զ‐զ—ːզːզːaːզːզ—զ—զːզめզː—զːզ‐զ‐≥i~β~β~яまяя=я=яβ', '~ː—めզめզめզめզめզめզめզめզ—a—aզめզaզ*զ*զaզaզ—ː—զaզa—aめզめզaː*զめզめ—ːa*aզ—զ—զ—զめզめզめːզめaめզaᆨяi~яaまa~a~', 'ψ‐ː—զ—‐ːզ—զめզめզ‐զ—ːզ‐զ‐めզめզ‐զ‐զ—a—a—զ‐զ—ːզ—զめզ‐めզめ=i=まa', '~զː‐զ‐a‐զ‐զ‐զ‐զ‐զめզ‐aզ‐զ‐զ‐զːզː—aզːaզːզ—ːaզ‐զːa—զ‐զ‐զ—զaզ‐զ‐զa=β~яβ', 'βː‐զ=‐զめզめզめզ‐めզめզめզめզめզめ—զː—զめզめ‐զ‐めզめզめզめզめզ‐めզ—զめզめaめ‐め—զaめ—զめ—めզめզ‐めզめզめ—ː‐զめ—めզめ—զめզ—զ—զめզめ—զめ—ψiβiβ', '~ːզaːめaզ‐զ‐զ‐め‐め‐め‐a‐զːզめ‐めզ‐զːaզめ—aզː*aզめզめզ—ːզaզめզː—զːզːզ—զ—զ—զめզ‐զ‐ː—ːզ‐め‐զ‐aiEи=и=иa=a', 'ψːզめ‐ːa—զ‐զ‐aզ‐—めզ‐զ‐զめːզːզめզːզめːզːզ‐զ—ː—զːզ—զːզːզ—զːզːզaզːզめզ‐զaめզめզːզ‐め‐զ‐a青βя=β', '~—ːզ‐զ‐զ—めզːզːզ—զaզa—めզaզaզ=β~a=', '~ːզ‐めզ‐a‐—զ‐զ—ːզ‐զ—aզa—զめզ—զaզ—զ‐զ—aːզめզ—զめզめզ—զめզ*—զ‐զ—aːզ‐զめ*զ—զːaː‐զめզ‐めզめզ‐めa‐զa~', '~‐զ‐զ‐զ‐զ‐զa‐*զ‐զ‐զ‐めa—զ‐զ‐զː—զめզa—զめզ‐めզめզめզ‐めզːզめզ‐զめզ‐զː—զːaզːզ‐զ‐ːզːզめզめզ—զめ—‐զ‐զ—øiиiиiиま', '~զめզ—��զ‐զ‐զː‐զaզ‐զ‐զめզ—‐զːզ‐զめզa—զaզaզːզː—զ‐զa—զːaզ‐զめːզ‐զːզː‐զ‐զ—ːզːզ=βቀ']
+{'eval_loss': 20.983184814453125, 'eval_wer': 1.0, 'eval_runtime': 2.7688, 'eval_samples_per_second': 21.67, 'eval_steps_per_second': 0.361, 'epoch': 0.94}
+ 31%|█████████████████████████████████████████████████████▊                                                                                                                      | 20/64 [01:22<03:05,  4.21s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 60
+  Batch size = 64
+ 31%|█████████████████████████████████████████████████████▊                                                                                                                      | 20/64 [01:24<03:05,  4.21s/it]
+['~զめզ‐զ‐a‐め‐զ‐զ‐めզ‐め‐զ‐め‐めզめ‐めզ‐զ‐զ‐զめզ‐め‐զ‐զ‐զ—զ‐զːめզ‐զめ‐զ‐զ‐ːめզ‐զ‐զ‐め~青βまиi=', '~զːզ—զaզa*զaզaզːզːզ—զːզaզ—զ—ːզaզː—զ—զ=~β~β=ま=まиaզa', '~‐զ‐զaզːզめզめ‐զaːզ‐զaզ—զ‐զːզːզ—զaզ—‐զ‐զaզ‐զ‐զ‐զ‐զ‐—‐—iиまиまиまи', 'ψ‐ː‐—‐զ‐—զaզめզめզ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զ‐զめզ—զ‐զめ—զːզ‐めզ—めːզ‐めզ—զːaզaզ‐զːզ‐め‐զめզめզめ‐զ‐め‐め‐め‐め‐め‐め‐=ᆨiまi=ま', 'ψaզ‐զ‐զ‐a‐զːզ‐զ‐զːզ—զ‐զ‐զ‐զ—aզ‐めզːaːaզめaզ‐զːզ—ːզ‐զめզ—ː—զa‐めզめզ‐*զ‐a‐aզ‐զ‐զ‐a~β~β~E=E=', 'ψːզːզ‐զ‐զ‐զめ—զ‐め‐ːզ‐զ‐զ*զːզ‐զ‐զaզ*զ—ːզ‐զaզ*զaːզːզːզ‐զːզめզ‐զ‐զːզ‐զめզ‐զ=iᆨβ~βᆨβᆨβ=', 'β‐զめզめզ‐զ—զa—զ—զ‐զ‐զ‐զ—ːզ‐զめզ‐զ—զːզːզ‐զ‐զめ‐զ‐—զ—զめ‐զめզ‐զめ‐めզめ‐զ‐め‐զめզ‐զ‐զːզ‐めզめզ‐զ—զ‐զめ‐զ‐զ‐aiиiиまиまиまиま', '~‐զ‐զ‐զ‐a‐զ‐め‐զめզめզ‐めզめːզ‐զ‐めզ‐զめզ‐զ‐զːզ‐զめզめզ‐զ—ːզ‐զ‐զ—զ‐զ‐զ‐զめզ‐め‐め‐զ‐a‐aզ‐a‐a‐=β~β', '~զ‐զиaզめզめզめզめզめ‐めզめզめզめ—めզ—ːaզめզめզːaզめ—ːզめզめզめզめզ—めզめզːaզめ—զめզめզめ—ːզめզめզめզめːaզめզ—a—զめզめզめզめզめզめզめզめզめզめզめզめզめզめզ—めզめզめզめaᆨиβ', '~‐ːզめզ—զ‐aզめ‐め‐め‐и‐զ‐め—ːզ‐զ‐զ‐զ‐զːզaզa—զめզ‐զ—զめզめզa‐զ‐զめզ‐めզːզめզ‐զめզ‐ːめզ‐զめ‐զめզめզ‐զめ—め‐զめːզ‐—めզめզ‐զ‐めզːզ‐めզめզ‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐めaめ*めզめ‐めզめզ‐=iEiቀま甌β', '~‐զ‐զめզ‐զめզめզ‐めː—aզ*ːզ‐զ‐զめզ‐めզ‐めզめզː—զːaզめզ‐զめզめːզ‐めզめ—զ‐զ‐զaզ*զ‐զ‐զ‐め‐めզ‐զ‐զめզː‐զめզ—ːզ‐զ‐զめզːզ‐զ‐զめ‐զ‐զ‐զ‐զːめզめզめզめ=զ‐զめ‐めզめ‐め‐զめզめ‐զ‐めզめ‐զ‐=i~i~i~', 'ψզ‐a—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐め‐զ‐め‐զ‐め‐*‐զ‐զ‐զ—ːզ‐զ‐զ‐զ—զめզめզ‐զめ‐め‐զめզめզːզめզːaզːめզめզ‐զ‐—‐め‐め‐—զ‐զ‐め‐զ‐め‐め‐զ‐—‐ː‐զ—զːզ‐զ‐զ‐=iиiиi甌i甌β', '~‐и‐զ‐a‐め‐*‐զ‐*‐めզ甌զめզ‐*զ‐զ‐զ‐զ‐*めզ‐զ*‐甌‐զ‐զ—զ*զ‐զ‐զ‐զ*զ‐զ*զ‐զめզめզめզめզ‐զめզめզ‐めզめզ‐զ‐զ*‐զめզめ‐—‐զ‐զ‐զ‐—զ‐զめզめզ*‐զめզ‐զ‐*‐զ‐めզ‐զ‐*‐め‐*‐め‐め‐め‐め‐め‐—‐ː‐զ—‐*‐め‐め‐aiτi', '~‐—‐—‐զ‐զ‐զ‐ː‐めզːզめզめզ—զ‐զ‐զ—զ—ː—զめզめզ‐զめզːզːզ‐զːզめ‐զːզ‐զ‐զːめզːめզめզ—զaզːզめ‐めզ‐զːめːզめզめ—զめզ‐զ‐զ‐զ‐զ—զːզːզ‐զ‐ː—‐զ‐զ‐a‐զ‐aiβ~まaまiβ', '~‐ːզめզめզめզ‐զ‐զa*զ—aզ‐զːզːզ—զaːaːզめզ—զa—aզːaզ—aːզːզːզ—զːզːզめզ‐զa青β~青まaиa=', '~a—めa‐զ‐aզ‐զ‐զめզ‐a‐զ‐զaզaːզːզ‐զːզ‐めզːզ‐զaզ‐զaզa‐զːզ—զ‐զ‐զめզaզ‐զ—զめզめզa‐ːզaːaզ‐a=~~и', '~=ːaզ‐զ‐զ‐զ‐a‐a‐զ‐զ‐—զめaզaզ‐զ—զaզ—զ—զ‐զː—զ—զめ‐—‐զ*ːզː‐զaզː—զめզ‐զ‐զ‐զaզːզ‐զ‐զː—զ‐զ‐=iβ~βまиaииии=', '~զaզめզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐a‐aզ‐զaզaː—aզ‐զː—զ‐զ—զ‐զ‐զ‐զめզː—զːզa—զ‐զ—զ—զ‐զːaզ—զめզaզː—զːզː—զ‐զːզ‐զːզめզ‐զa=β~βቀ=', 'ψː—զめզ—զ*զa‐զ*‐զ‐զːզaզ—aզaզめզめզめզめ—զaզa—զめզ‐զめ‐զ*զ‐զ*զめզaզ‐զ‐զめզaզːզ~яиβиβия', 'ψːզ—aզめզ‐զめզː‐aզːaզ—aː—զ—զːզːզめզaզa—ːզ*—aզ*—ːզめ‐զ‐aզ‐զ‐a‐め‐զːզめզ‐զ‐ːզːզ‐զ‐զ‐զaզː‐—զ‐զ‐ːզ‐զ‐aզめզ‐զ‐զaզ‐զ‐ː—ːզめզaզ‐զ≥›βEиaи=ቀ', '~զ‐め‐めզ‐զaզめզ*զa—զめզːaːaզ—զめզ—ːaզːզaզaզ—զːզ‐զ—ːզːզaզめզめզめa‐զめզ‐զめ~青~~β', 'ψզ—‐զ‐め‐զ‐め‐զːզaզ‐զ—aզ‐զːզːզめզ‐զ—զ‐め‐զめ‐め‐զ‐*ːզ‐め—‐զːզː—զ‐զ—զ—め—めզːզめ‐め‐զめ*—aզːզːզ‐զːզːզめզめːզ—ːզ‐—‐ːզめզ—զ—զ—ːզːզ—զ‐め‐զめզめ‐a‐め‐め‐զ‐զ‐≥青~', '~aզaːզa—a—aզめզめզ—aզaզːզːզa—ːaːaզ*aզaզːզaզ—aːզː—ːզ~=β~β~β~β~β', 'β‐—‐զ‐զ‐զ‐զ‐զ‐զ‐めզ‐զ‐զ‐զめ‐զ—զaզめ‐զaめզ‐めզ‐զめզaզ‐զ‐զ‐めզ‐զ‐զ‐めզ‐めզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aᆨiиiиまi', '~զːaզaːզ—a—aզaզːզa—aːaզ—ːզ—զ*aզa—ːaզaզaզːaːaզaː—aզ=~ββ~β~', '~զ‐զ—ːզ—զめզ‐զaզ—զaզːզːզːզ—զː*—զːզ—զːaզaզːզaզ—զ‐զːզ‐զa—ː*ːaզ—զ—զːզaːaզ‐զ—զめզːզ‐զ=‐զa=β=~=β=β', '~め‐զめиめզめ‐め‐めզめ‐զめaめզ‐զめa—զa—զめզ‐めզめلaզめaզめa—զめaզめզめզめզ—զaզめզ—զめզめզ—զめզ—զめ—զiи~β', '~զ‐զ‐զめ‐զめ‐—‐զ‐զ‐զ‐զ—a—զ‐զ‐զ—զめզめզ—զ—զa‐զ‐զ‐զ‐զ‐զめզ‐զ—զめզめː—զめ—զːզめզ—զ—զːզ‐զ‐զːaզ—ːզ‐զːaզ‐զめզaզaզ‐զ‐զめզ‐զ‐զːզ‐զ‐ːզ‐aզ‐զ‐զ‐զa=β~ββ=β', '~ː—‐զ‐զ‐a‐զ‐a‐զ‐զ‐ːզaզ*զaզː—զ—ːaզːaզ‐めզ*aզ—ː—aզːզːզːզめզ‐զaiaia', '~—‐զ‐զ‐զ‐զ‐զ‐め‐զめզːզ—զ—aզːզaզ‐զ—զめզ—զa‐めզ‐զ—ːզ—ːզ‐զめ*めզ‐զめզめզ—զːզ‐զaզめզめզ‐զめզ‐զ—զːզ‐զ—զ‐զ‐զめa青β~β', '~զ‐զ‐զ‐զ‐め‐զaզaզ‐めզ*—=զめզ—զめզ‐զ‐զ—ːզ‐զ‐զ‐զめզめզ‐զ—զめզめզめզめզ‐զ—զːզːզ厳զ=‐զめ—めզめզːզめզめզːզめːզ‐զ—めːզ‐զ‐զめ‐զ—զめ‐զめզ‐めզめ‐め‐զ‐—ψiまиi', 'ψaːզ—զ—զ—զめզ‐զ—զ—‐զ‐—զ—զːզ‐զ‐զaզ—aզːզːaզ—զːaզːզːզ—զaզ—զ—զːզ—め—զ—զ‐զ‐զ‐զ—զ—զ—զ‐めզ—i=iま=i=', '~‐めզːզ‐めզ‐զ‐զ‐զ‐め‐զめզめ‐めզːզ‐զ‐め‐զ‐め—aզめ‐զめզ‐*զ‐զ‐*‐=‐aめ=զ‐զ‐=青βEiβ', '~զ‐զ‐զ‐aզ‐զ‐զ‐զaզa—զ—զːզaզ—զaզ*զ—զ*զ—զaզめզめզ‐զ‐զ‐զめզ‐զː—զːզ=', 'ψզめզ‐զ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զめզːզːզ—զめզ*—ː—զめզめզ—զ‐զめզめզ*‐め‐め‐=i~i~a', '~‐զ‐զ‐め‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐զめզめ‐め‐զ‐զめզめ‐めզ‐զめզ—զめզ‐զめ‐զ‐զめզːめ‐めզ‐զめզ‐զ‐զ‐զ‐զめզめզ‐めզ‐զ‐զめզめ‐めզ‐զ‐զ‐զ—‐զめ‐め‐め‐め‐め‐~i', '~‐զ‐め‐զ‐զ‐զ‐めզ‐զːզ‐զ‐զːզめզ‐զ‐զːa‐—զ—զめզ*զ‐զːզめզめզ‐զ‐めզ‐ː‐զːզ‐զめ‐め‐=›i›~›i›i~ま~', '~‐զ‐զ‐め‐め‐զ‐զ‐զ‐めզ‐զめզめզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐զaզめզ‐զ‐զ‐զ‐めզ—‐զ‐զ‐զめզ‐զ‐զめզめզ‐め‐զ‐զ‐զ—め—‐զ‐զめզ‐զː‐զ‐զ‐զめ‐め‐aiβiβiβiβiβまa', '~‐めզ‐զ‐め‐զ‐զ‐զめզめ‐めզ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ*め‐զ‐めզめզaզめզaզ‐զa‐զ‐ː‐զ‐զ‐=β~β=~', '~ːa—ːめ‐め‐զ‐め‐—‐め‐զaめ—զ‐め‐め‐め‐め‐զ‐めːզ‐զ—aզ‐զːa—զaզːզːզ—aː—զ‐զ=яøβ=β=β', '~aզめզː‐め‐a‐め‐め‐め‐め‐め‐め‐め‐め‐—‐զ‐զː—aːզめզめզめզめզ—aզめ‐զ—ːզ‐զ‐զ‐զːզめզ—aզめ—զːaː‐զ—զ‐զめզめզ‐め‐め‐ːaめːaզめզ—զːզ‐=iβiᆨβяa.яβ', 'ψ‐զ‐զ‐զ‐���զːզ‐զ‐զ‐զ*aզːզ‐め—めզaːզ‐զ‐զ‐զ‐めզː‐զ‐—զ‐զːզ‐めզ‐զ‐ːめ‐զ‐զめ—ːզ‐զ‐զ‐զめզːaզ‐ː‐զめզː—ːզ‐զ‐զːզ‐զ‐ː‐ːզ‐—զ‐め‐=β=β', '=զめզめզː‐զ—զめզめզːզːզːaզめa—զ‐զ—لaզ—զ—aզめːզː—ːզめaːզ—ːզːզ*զめːaզめզ‐զめզ—ːզめː‐め‐a—ːզ—զめː‐め‐զ‐a‐զa~β~β', '~‐զ‐զ‐め‐め‐め‐a‐զ‐զめզ‐զ‐զ‐զ‐զ—զ—զめզːզ‐զ‐զːզːզ—ː—ːզめզ—զːզ—ːզ‐զ‐զ—զ‐զ‐զめː—զめզ‐զ—զ‐զ‐զ‐զめզːզːզ‐զ‐զ‐めզː—զ‐զ‐զめզ—ːզ‐զːզː—զː—զめզ‐aβ~まaまEяEβ', '~զaզめզːզめզːզ‐զめ—aզめ‐めզ‐զːզːめզːզ‐զ‐զ‐զ‐զ‐զaզːaզ‐զːզːզめզめզːզめզめːզ—զ‐め‐զめa青β~β~β', '~‐զ‐զめզ*զ‐զ‐զ‐めզめզa‐めզ‐めզ‐ː‐զ‐զ‐ːզめզ‐めզ‐զ‐զ‐զ‐ːզ‐զめ‐めզめզ‐զ‐զめզめզめզめզ‐զ‐զ‐զめզ‐զめզ‐զ‐め‐め‐ل‐め‐զ‐զ‐=i', '~‐ː‐զ‐a‐ːզ‐զめaզめզめ‐զ‐զ‐զ—զ‐զ‐զːզ‐զ—զ‐զ‐զːզ‐զ‐զaզ—զ‐զaզ‐զ—զ‐զ‐—ːզ‐զ‐զ‐զ‐զ‐a青~==', '~‐զめ‐め‐め‐զ‐めզ‐զ‐զめ‐め‐զめ‐め‐めզ‐めզ‐զめզ‐めզめ‐զ‐զ‐զめզめ‐զ‐めզ‐զめ‐զ‐զ‐զ‐めզ‐めզめզめզ‐めզめ‐զめզめզ‐զめ‐めզ‐め‐զ‐めզめ‐զ‐զ‐զ‐զ‐めզめ‐め‐め‐めզ‐め‐զめզ‐զ‐զ‐զ‐め‐զ‐め‐զ‐め‐—β~βиi', '~*զ—=զめզ*զめզaզ—զめզめզ—զ*զaզ—զːզめզːめːզめզめզːզめզめ*զaːaզめզ*զːզめզめզめզːaզめզめզめզめզめզaզ=i~', 'ψզ—ːզaզ‐զ‐め‐զ‐զめզa‐զ‐զ‐զ‐զ‐めզ‐զ‐aզ‐զ‐զ‐զ—ːզːզːaːզː—ːզ—զ—զːզめզː—զːզ‐զ‐զ‐≥i~β~яβ', '~ː—めզめզめզめզめզめզめզ—aզめզaզ*զ*զaզaզ—ː—զaզaめզめզaː*զめզめ—ːa*aզ—զ—զ—զめզめːզめaめզaᆨяi~яaяa~a~', 'ψ‐—զ—‐ːզ—զめզめզ‐զ—ːզ‐զ‐めզめզ‐զ‐զ—a—a—զ‐զ—ːզ—զめզ‐めզめ=i=まa', '~զː‐a‐զ‐զ‐զːզ‐զ‐զめզ‐aզ‐զ‐զ‐զめզ‐զːզːզː—aզːaզːզ—ːaզ‐զ‐զːa—զ‐զ‐զ‐զ—զaզ‐զ‐զa=β~β', 'βː‐զ=‐զめզめզめզ‐めզめզめզめզめ—զːզめզめ‐զ‐めզめզめզめզ‐めզ—զめզめaめ‐め—զaめ—զめ—めզめզ‐めզめզめ—ː‐զめ—めզめ—զめզ—զ—զめզめ—め—ψiβiβ', '~ːめaːめa‐զ‐め‐め‐め‐a‐զːզめ‐めզ‐զːaզめ—aզː*aզめզめզめզ—ːզaզめզː—զːզːզ—զ—զ‐—զめզ‐զ‐ː—ːզ‐め‐զ‐aiE=и=a', 'ψːզめ‐ːa—զ‐զ‐aզ‐—めզ‐զ‐զめː‐զːզめզːզめːզaզaզ‐զ—ː—զːզ—զːզːզ—զːզːզaզːզめզ‐զ‐զaめզめզːզ‐զ‐め‐զ‐a青βя=β', '~—ːզ‐զ‐զ—めզːզːզ—զaզa—めզaզaզ=β~a=', '~ːզ‐めզ‐a‐—զ‐զ—aզ‐զ—aզa—զめ—զ—զaզ—զ‐զ—aːզめզ—զめզめզ—զめզ*—զ‐め—aːզ‐զめ*զ—զːaː‐զめզ‐めզめզ‐めa‐զa~', '~‐զ‐զ‐զ‐զ‐զ‐a‐*զ‐զ‐զ‐めa—զ‐զ‐զː—զめզːa—զめզ‐めզめզめզ‐めզːզめզ‐զめզ‐զː—զめզːaզːզ‐զ‐ːզːզ‐զめզめզ—զめ—‐զ‐զ—øiиiиiиま', '~զめզ—めզ‐զ‐զː‐զaզ‐զ‐զめզ—‐զːզ‐զめզa—զaզaզːզː—զ‐զːզa—զːaզ‐զめːզ‐զːզː‐զ‐զ—ːզːզ=βቀ']
+
+
+ 34%|███████████████████████████████████████████████████████████▏                                                                                                                | 22/64 [01:29<02:44,  3.91s/it]Traceback (most recent call last):
+  File "run_speech_recognition_ctc.py", line 749, in <module>
+    main()
+  File "run_speech_recognition_ctc.py", line 700, in main
+    train_result = trainer.train(resume_from_checkpoint=checkpoint)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1347, in train
+    for step, inputs in enumerate(epoch_iterator):
+  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in __next__
+    data = self._next_data()
+  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 561, in _next_data
+    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
+  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
+    return self.collate_fn(data)
+  File "run_speech_recognition_ctc.py", line 282, in __call__
+    batch = self.processor.pad(
+  File "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/processing_wav2vec2.py", line 147, in pad
+    return self.current_processor.pad(*args, **kwargs)
+  File "/opt/conda/lib/python3.8/site-packages/transformers/feature_extraction_sequence_utils.py", line 229, in pad
+    value = value.astype(np.float32)
+KeyboardInterrupt

wandb/run-20220130_175417-3n44neww/files/requirements.txt

@@ -0,0 +1,180 @@
+aiohttp==3.8.1
+aiosignal==1.2.0
+analytics-python==1.4.0
+anyio==3.5.0
+appdirs==1.4.4
+argon2-cffi-bindings==21.2.0
+argon2-cffi==21.3.0
+asgiref==3.5.0
+asttokens==2.0.5
+async-timeout==4.0.2
+attrs==21.4.0
+audioread==2.1.9
+backcall==0.2.0
+backoff==1.10.0
+bcrypt==3.2.0
+beautifulsoup4==4.9.3
+black==21.12b0
+bleach==4.1.0
+brotlipy==0.7.0
+certifi==2020.12.5
+cffi==1.14.3
+chardet==3.0.4
+charset-normalizer==2.0.10
+click==8.0.3
+conda-build==3.21.4
+conda-package-handling==1.7.2
+conda==4.9.2
+configparser==5.2.0
+cryptography==3.2.1
+cycler==0.11.0
+datasets==1.18.2.dev0
+debugpy==1.5.1
+decorator==4.4.2
+defusedxml==0.7.1
+dill==0.3.4
+dnspython==2.1.0
+docker-pycreds==0.4.0
+entrypoints==0.3
+executing==0.8.2
+fastapi==0.73.0
+ffmpy==0.3.0
+filelock==3.0.12
+fonttools==4.29.0
+frozenlist==1.3.0
+fsspec==2022.1.0
+gitdb==4.0.9
+gitpython==3.1.26
+glob2==0.7
+gradio==2.7.5.2
+h11==0.13.0
+huggingface-hub==0.4.0
+idna==2.10
+importlib-resources==5.4.0
+ipykernel==6.7.0
+ipython-genutils==0.2.0
+ipython==8.0.1
+ipywidgets==7.6.3
+jedi==0.17.0
+jinja2==2.11.3
+jiwer==2.3.0
+joblib==1.1.0
+json5==0.9.6
+jsonschema==4.4.0
+jupyter-client==7.1.2
+jupyter-core==4.9.1
+jupyterlab-pygments==0.1.2
+jupyterlab-server==1.2.0
+jupyterlab-widgets==1.0.2
+jupyterlab==2.2.9
+kiwisolver==1.3.2
+libarchive-c==2.9
+librosa==0.8.1
+llvmlite==0.38.0
+markdown2==2.4.2
+markupsafe==1.1.1
+matplotlib-inline==0.1.3
+matplotlib==3.5.1
+mistune==0.8.4
+mkl-fft==1.3.0
+mkl-random==1.1.1
+mkl-service==2.3.0
+monotonic==1.6
+multidict==6.0.2
+multiprocess==0.70.12.2
+mypy-extensions==0.4.3
+nano==0.10.0
+nbclient==0.5.10
+nbconvert==6.4.1
+nbformat==5.1.3
+nest-asyncio==1.5.4
+notebook==6.4.8
+numba==0.55.1
+numpy==1.19.2
+olefile==0.46
+packaging==21.3
+pandas==1.4.0
+pandocfilters==1.5.0
+paramiko==2.9.2
+parso==0.8.1
+pathspec==0.9.0
+pathtools==0.1.2
+pexpect==4.8.0
+pickleshare==0.7.5
+pillow==8.1.2
+pip==21.3.1
+pkginfo==1.7.0
+platformdirs==2.4.1
+pooch==1.6.0
+prometheus-client==0.13.0
+promise==2.3
+prompt-toolkit==3.0.8
+protobuf==3.19.4
+psutil==5.8.0
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pyarrow==6.0.1
+pycosat==0.6.3
+pycparser==2.20
+pycryptodome==3.13.0
+pydantic==1.9.0
+pydub==0.25.1
+pygments==2.8.0
+pynacl==1.5.0
+pyopenssl==19.1.0
+pyparsing==3.0.7
+pyrsistent==0.18.1
+pysocks==1.7.1
+python-dateutil==2.8.2
+python-etcd==0.4.5
+python-levenshtein==0.12.2
+python-multipart==0.0.5
+pytz==2021.1
+pyyaml==5.4.1
+pyzmq==22.3.0
+regex==2022.1.18
+requests==2.24.0
+resampy==0.2.2
+ruamel-yaml==0.15.87
+sacremoses==0.0.47
+scikit-learn==1.0.2
+scipy==1.7.3
+send2trash==1.8.0
+sentry-sdk==1.5.4
+setuptools==50.3.1.post20201107
+shortuuid==1.0.8
+six==1.15.0
+smmap==5.0.0
+sniffio==1.2.0
+soundfile==0.10.3.post1
+soupsieve==2.2
+stack-data==0.1.4
+starlette==0.17.1
+subprocess32==3.5.4
+termcolor==1.1.0
+terminado==0.13.1
+testpath==0.5.0
+threadpoolctl==3.0.0
+tokenizers==0.11.4
+tomli==1.2.3
+torch==1.10.2
+torchaudio==0.10.2
+torchelastic==0.2.2
+torchtext==0.9.1
+torchvision==0.9.1
+tornado==6.1
+tqdm==4.62.3
+traitlets==5.1.1
+transformers==4.17.0.dev0
+typing-extensions==4.0.1
+urllib3==1.25.11
+uvicorn==0.17.1
+wandb==0.12.9
+wcwidth==0.2.5
+webencodings==0.5.1
+wheel==0.35.1
+widgetsnbextension==3.5.2
+xxhash==2.0.2
+yarl==1.7.2
+yaspin==2.1.0
+zipp==3.7.0

wandb/run-20220130_175417-3n44neww/files/wandb-metadata.json

@@ -0,0 +1,66 @@
+{
+    "os": "Linux-4.15.0-151-generic-x86_64-with-glibc2.10",
+    "python": "3.8.8",
+    "heartbeatAt": "2022-01-30T17:54:18.803448",
+    "startedAt": "2022-01-30T17:54:17.515767",
+    "docker": null,
+    "gpu": "Tesla V100S-PCIE-32GB",
+    "gpu_count": 1,
+    "cpu_count": 60,
+    "cuda": null,
+    "args": [
+        "--dataset_name=mozilla-foundation/common_voice_8_0",
+        "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+        "--dataset_config_name=fr",
+        "--tokenizer_name_or_path=./",
+        "--output_dir=./",
+        "--overwrite_output_dir",
+        "--num_train_epochs=4",
+        "--per_device_train_batch_size=64",
+        "--per_device_eval_batch_size=64",
+        "--gradient_accumulation_steps=1",
+        "--learning_rate=2e-4",
+        "--warmup_steps=2500",
+        "--length_column_name=input_length",
+        "--evaluation_strategy=steps",
+        "--text_column_name=sentence",
+        "--save_steps=500",
+        "--eval_steps=5",
+        "--logging_steps=5",
+        "--layerdrop=0.0",
+        "--activation_dropout=0.05",
+        "--save_total_limit=20",
+        "--freeze_feature_encoder",
+        "--feat_proj_dropout=0.0",
+        "--mask_time_prob=0.6",
+        "--mask_time_length=10",
+        "--mask_feature_prob=0.25",
+        "--mask_feature_length=10",
+        "--gradient_checkpointing",
+        "--report_to=wandb",
+        "--run_name=xls-r-300m-fr",
+        "--max_train_samples=1000",
+        "--max_eval_samples=60",
+        "--max_duration_in_seconds=10",
+        "--use_auth_token",
+        "--fp16",
+        "--group_by_length",
+        "--preprocessing_num_workers=64",
+        "--do_train",
+        "--do_eval",
+        "--load_best_model_at_end",
+        "--push_to_hub"
+    ],
+    "state": "running",
+    "program": "run_speech_recognition_ctc.py",
+    "codePath": "run_speech_recognition_ctc.py",
+    "git": {
+        "remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
+        "commit": "9d07727def2251b0909520344156eb711ff096b9"
+    },
+    "email": "alexandrenap@hotmail.fr",
+    "root": "/workspace/xls-r-300m-fr",
+    "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+    "username": "ovh",
+    "executable": "/opt/conda/bin/python"
+}

wandb/run-20220130_175417-3n44neww/files/wandb-summary.json

@@ -0,0 +1 @@
+{"train/loss": 21.5754, "train/learning_rate": 1.44e-06, "train/epoch": 1.25, "train/global_step": 20, "_runtime": 87, "_timestamp": 1643565344, "_step": 7, "eval/loss": 20.960968017578125, "eval/wer": 1.0, "eval/runtime": 2.6805, "eval/samples_per_second": 22.384, "eval/steps_per_second": 0.373, "_wandb": {"runtime": 95}}