Training in progress, step 500

.gitattributes

@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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 wandb/run-20220504_142129-1tmxz74i/logs/debug-internal.log filter=lfs diff=lfs merge=lfs -text
 wandb/run-20220504_142129-1tmxz74i/files/output.log filter=lfs diff=lfs merge=lfs -text
+wandb/run-20220505_173748-b097rk18/run-b097rk18.wandb filter=lfs diff=lfs merge=lfs -text

config.json

@@ -182,7 +182,7 @@
     "forced_eos_token_id": null,
     "gradient_checkpointing": false,
     "hidden_act": "gelu",
-    "hidden_dropout": 0.16627274455555233,
+    "hidden_dropout": 0.2,
     "hidden_size": 1024,
     "id2label": {
       "0": "LABEL_0",

emissions.csv

@@ -4,3 +4,4 @@ timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_
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+2022-05-05T17:32:21,595a622e-ed46-407f-95ef-aee33f1bdf6d,codecarbon,4.391920328140259,9.467203556285354e-05,0.0001671764710627822,USA,USA,Iowa,Y,gcp,us-central1

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sweep.yaml

@@ -13,7 +13,7 @@ command:
 - --push_to_hub
 - --use_auth_token
 - ${args}
-method: random
+method: grid
 metric:
   goal: maximize
   name: eval/bleu
@@ -35,19 +35,17 @@ parameters:
   per_device_eval_batch_size:
     value: 8
   gradient_accumulation_steps:
-    value: 8
+    value: 16
   generation_max_length:
     value: 40
   generation_num_beams:
     value: 1
   learning_rate:
-    distribution: log_uniform
-    max: -6.9
-    min: -9.2
+    values:
+    - 3e-5
+    - 3e-4
   hidden_dropout:
-    distribution: log_uniform
-    max: -1.6
-    min: -3.4
+    value: 0.2
   warmup_steps:
     value: 500
   evaluation_strategy:

train_results.json

@@ -1,8 +0,0 @@
-{
-    "epoch": 3.0,
-    "train_loss": 0.0,
-    "train_runtime": 8.6541,
-    "train_samples": 207374,
-    "train_samples_per_second": 71887.743,
-    "train_steps_per_second": 1123.17
-}

training_args.bin

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 size 3247

wandb/debug-cli.log

@@ -184,3 +184,135 @@
 	warmup_steps: 500
 2022-05-05 16:48:04 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=8 --greater_is_better=True --hidden_dropout=0.16627274455555233 --language=fr.en --learning_rate=0.00022154311254852488 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500
 2022-05-05 16:48:09 INFO Running runs: ['lr7oonrp']
+2022-05-05 16:51:25 ERROR Detected 5 failed runs in a row, shutting down.
+2022-05-05 16:51:25 INFO To change this value set WANDB_AGENT_MAX_INITIAL_FAILURES=val
+2022-05-05 17:29:38 INFO Running runs: []
+2022-05-05 17:29:38 INFO Agent received command: run
+2022-05-05 17:29:38 INFO Agent starting run with config:
+	eval_split_name: test
+	eval_steps: 500
+	evaluation_strategy: steps
+	generation_max_length: 40
+	generation_num_beams: 1
+	gradient_accumulation_steps: 16
+	greater_is_better: True
+	hidden_dropout: 0.2
+	language: fr.en
+	learning_rate: 0.0007057712331944904
+	logging_steps: 1
+	max_duration_in_seconds: 20
+	metric_for_best_model: bleu
+	model_name_or_path: ./
+	num_train_epochs: 3
+	output_dir: ./
+	per_device_eval_batch_size: 8
+	per_device_train_batch_size: 8
+	save_steps: 500
+	task: covost2
+	warmup_steps: 500
+2022-05-05 17:29:38 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=16 --greater_is_better=True --hidden_dropout=0.2 --language=fr.en --learning_rate=0.0007057712331944904 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500
+2022-05-05 17:29:43 INFO Running runs: ['rwbnpkt2']
+2022-05-05 17:29:50 INFO Running runs: []
+2022-05-05 17:29:51 INFO Agent received command: run
+2022-05-05 17:29:51 INFO Agent starting run with config:
+	eval_split_name: test
+	eval_steps: 500
+	evaluation_strategy: steps
+	generation_max_length: 40
+	generation_num_beams: 1
+	gradient_accumulation_steps: 16
+	greater_is_better: True
+	hidden_dropout: 0.2
+	language: fr.en
+	learning_rate: 0.0005587128574267087
+	logging_steps: 1
+	max_duration_in_seconds: 20
+	metric_for_best_model: bleu
+	model_name_or_path: ./
+	num_train_epochs: 3
+	output_dir: ./
+	per_device_eval_batch_size: 8
+	per_device_train_batch_size: 8
+	save_steps: 500
+	task: covost2
+	warmup_steps: 500
+2022-05-05 17:29:51 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=16 --greater_is_better=True --hidden_dropout=0.2 --language=fr.en --learning_rate=0.0005587128574267087 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500
+2022-05-05 17:29:56 INFO Running runs: ['ydgnpqx2']
+2022-05-05 17:30:19 INFO Cleaning up finished run: rwbnpkt2
+2022-05-05 17:30:19 INFO Agent received command: run
+2022-05-05 17:30:19 INFO Agent starting run with config:
+	eval_split_name: test
+	eval_steps: 500
+	evaluation_strategy: steps
+	generation_max_length: 40
+	generation_num_beams: 1
+	gradient_accumulation_steps: 16
+	greater_is_better: True
+	hidden_dropout: 0.2
+	language: fr.en
+	learning_rate: 0.0003851276453057612
+	logging_steps: 1
+	max_duration_in_seconds: 20
+	metric_for_best_model: bleu
+	model_name_or_path: ./
+	num_train_epochs: 3
+	output_dir: ./
+	per_device_eval_batch_size: 8
+	per_device_train_batch_size: 8
+	save_steps: 500
+	task: covost2
+	warmup_steps: 500
+2022-05-05 17:30:19 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=16 --greater_is_better=True --hidden_dropout=0.2 --language=fr.en --learning_rate=0.0003851276453057612 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500
+2022-05-05 17:30:24 INFO Running runs: ['xbi4p92m']
+2022-05-05 17:31:15 INFO Running runs: []
+2022-05-05 17:31:16 INFO Agent received command: run
+2022-05-05 17:31:16 INFO Agent starting run with config:
+	eval_split_name: test
+	eval_steps: 500
+	evaluation_strategy: steps
+	generation_max_length: 40
+	generation_num_beams: 1
+	gradient_accumulation_steps: 16
+	greater_is_better: True
+	hidden_dropout: 0.2
+	language: fr.en
+	learning_rate: 0.0003287457929573604
+	logging_steps: 1
+	max_duration_in_seconds: 20
+	metric_for_best_model: bleu
+	model_name_or_path: ./
+	num_train_epochs: 3
+	output_dir: ./
+	per_device_eval_batch_size: 8
+	per_device_train_batch_size: 8
+	save_steps: 500
+	task: covost2
+	warmup_steps: 500
+2022-05-05 17:31:16 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=16 --greater_is_better=True --hidden_dropout=0.2 --language=fr.en --learning_rate=0.0003287457929573604 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500
+2022-05-05 17:31:21 INFO Running runs: ['ykkm1chu']
+2022-05-05 17:36:50 INFO Running runs: []
+2022-05-05 17:36:50 INFO Agent received command: run
+2022-05-05 17:36:50 INFO Agent starting run with config:
+	eval_split_name: test
+	eval_steps: 500
+	evaluation_strategy: steps
+	generation_max_length: 40
+	generation_num_beams: 1
+	gradient_accumulation_steps: 16
+	greater_is_better: True
+	hidden_dropout: 0.2
+	language: fr.en
+	learning_rate: 3e-05
+	logging_steps: 1
+	max_duration_in_seconds: 20
+	metric_for_best_model: bleu
+	model_name_or_path: ./
+	num_train_epochs: 3
+	output_dir: ./
+	per_device_eval_batch_size: 8
+	per_device_train_batch_size: 8
+	save_steps: 500
+	task: covost2
+	warmup_steps: 500
+2022-05-05 17:36:50 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=16 --greater_is_better=True --hidden_dropout=0.2 --language=fr.en --learning_rate=3e-05 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500
+2022-05-05 17:36:55 INFO Running runs: ['b097rk18']

wandb/debug-internal.log

@@ -1 +1 @@
-run-20220505_164902-lr7oonrp/logs/debug-internal.log
+run-20220505_173748-b097rk18/logs/debug-internal.log

wandb/debug.log

@@ -1 +1 @@
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+run-20220505_173748-b097rk18/logs/debug.log

wandb/latest-run

@@ -1 +1 @@
-run-20220505_164902-lr7oonrp
+run-20220505_173748-b097rk18

wandb/run-20220505_164902-lr7oonrp/files/config.yaml

@@ -52,7 +52,16 @@ _wandb:
       - 5
       - 11
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+      2:
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       3:
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       - 13
       4: 3.9.5
       5: 0.12.10

wandb/run-20220505_164902-lr7oonrp/files/output.log

@@ -51,3 +51,25 @@ To https://huggingface.co/sanchit-gandhi/xtreme_s_xlsr_2_bart_covost2_fr_en
 Saving model checkpoint to ./
 Configuration saved in ./config.json
 Model weights saved in ./pytorch_model.bin
+Feature extractor saved in ./preprocessor_config.json
+05/05/2022 16:51:11 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/xtreme_s_xlsr_2_bart_covost2_fr_en
+   9ad50a4..9638619  main -> main
+To https://huggingface.co/sanchit-gandhi/xtreme_s_xlsr_2_bart_covost2_fr_en
+   9ad50a4..9638619  main -> main
+Traceback (most recent call last):
+  File "/home/sanchit_huggingface_co/xtreme_s_xlsr_2_bart_covost2_fr_en/run_xtreme_s.py", line 972, in <module>
+    main()
+  File "/home/sanchit_huggingface_co/xtreme_s_xlsr_2_bart_covost2_fr_en/run_xtreme_s.py", line 964, in main
+    trainer.push_to_hub(**kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 2944, in push_to_hub
+    self.create_model_card(model_name=model_name, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 2841, in create_model_card
+    training_summary = TrainingSummary.from_trainer(
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/modelcard.py", line 611, in from_trainer
+    return cls(
+  File "<string>", line 16, in __init__
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/modelcard.py", line 401, in __post_init__
+    info = model_info(self.finetuned_from)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 870, in model_info
+    return ModelInfo(**d)
+TypeError: huggingface_hub.hf_api.ModelInfo() argument after ** must be a mapping, not list

wandb/run-20220505_164902-lr7oonrp/files/wandb-summary.json

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+{"train/train_runtime": 8.6541, "train/train_samples_per_second": 71887.743, "train/train_steps_per_second": 1123.17, "train/total_flos": 0.0, "train/train_loss": 0.0, "train/epoch": 3.0, "train/global_step": 9720, "_runtime": 8, "_timestamp": 1651769350, "_step": 0, "_wandb": {"runtime": 134}}

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wandb/run-20220505_164902-lr7oonrp/logs/debug.log

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+2022-05-05 16:51:21,568 INFO    MainThread:67410 [wandb_run.py:_wait_for_finish():1929] got exit ret: done: true
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wandb/run-20220505_173213-ykkm1chu/files/config.yaml

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+wandb_version: 1
+
+_n_gpu:
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+  value: 1
+_name_or_path:
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+  value: ./
+_wandb:
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+    cli_version: 0.12.10
+    framework: huggingface
+    huggingface_version: 4.19.0.dev0
+    is_jupyter_run: false
+    is_kaggle_kernel: false
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+      6:
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+    start_time: 1651771933
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+  value: 0.999
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+  value: 1.0e-08
+add_cross_attention:
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+architectures:
+  desc: null
+  value:
+  - SpeechEncoderDecoderModel
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+ddp_find_unused_parameters:
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+  value: None
+debug:
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+  value: '[]'
+decoder:
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+  value:
+    _name_or_path: facebook/bart-large
+    activation_dropout: 0.1
+    activation_function: gelu
+    add_bias_logits: false
+    add_cross_attention: true
+    add_final_layer_norm: false
+    architectures:
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+    attention_dropout: 0.1
+    bad_words_ids: null
+    bos_token_id: 0
+    chunk_size_feed_forward: 0
+    classif_dropout: 0.1
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+    diversity_penalty: 0.0
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+    encoder_attention_heads: 16
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+    exponential_decay_length_penalty: null
+    finetuning_task: null
+    forced_bos_token_id: 0
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+    gradient_checkpointing: false
+    id2label:
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+      '2': LABEL_2
+    init_std: 0.02
+    is_decoder: true
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+    label2id:
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+      LABEL_1: 1
+      LABEL_2: 2
+    length_penalty: 1.0
+    max_length: 20
+    max_position_embeddings: 1024
+    min_length: 0
+    model_type: bart
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+    normalize_before: false
+    num_beam_groups: 1
+    num_beams: 4
+    num_hidden_layers: 12
+    num_return_sequences: 1
+    output_attentions: false
+    output_hidden_states: false
+    output_scores: false
+    pad_token_id: 1
+    prefix: null
+    problem_type: null
+    pruned_heads: {}
+    remove_invalid_values: false
+    repetition_penalty: 1.0
+    return_dict: true
+    return_dict_in_generate: false
+    scale_embedding: false
+    sep_token_id: null
+    task_specific_params:
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+        max_length: 128
+        min_length: 12
+        num_beams: 4
+      summarization_cnn:
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+        max_length: 142
+        min_length: 56
+        num_beams: 4
+      summarization_xsum:
+        length_penalty: 1.0
+        max_length: 62
+        min_length: 11
+        num_beams: 6
+    temperature: 1.0
+    tie_encoder_decoder: false
+    tie_word_embeddings: true
+    tokenizer_class: null
+    top_k: 50
+    top_p: 1.0
+    torch_dtype: null
+    torchscript: false
+    transformers_version: 4.19.0.dev0
+    typical_p: 1.0
+    use_bfloat16: false
+    use_cache: true
+    vocab_size: 50265
+decoder_start_token_id:
+  desc: null
+  value: 0
+deepspeed:
+  desc: null
+  value: None
+disable_tqdm:
+  desc: null
+  value: false
+diversity_penalty:
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+  value: 0.0
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+  value: true
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+  value: false
+do_train:
+  desc: null
+  value: true
+early_stopping:
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+  value: false
+encoder:
+  desc: null
+  value:
+    _name_or_path: facebook/wav2vec2-xls-r-300m
+    activation_dropout: 0.0
+    adapter_kernel_size: 3
+    adapter_stride: 2
+    add_adapter: true
+    add_cross_attention: false
+    apply_spec_augment: true
+    architectures:
+    - Wav2Vec2ForPreTraining
+    attention_dropout: 0.1
+    bad_words_ids: null
+    bos_token_id: 1
+    chunk_size_feed_forward: 0
+    classifier_proj_size: 256
+    codevector_dim: 768
+    contrastive_logits_temperature: 0.1
+    conv_bias: true
+    conv_dim:
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+    - 512
+    - 512
+    - 512
+    - 512
+    - 512
+    - 512
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+    - 3
+    - 3
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+    - 2
+    - 2
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+    - 5
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    cross_attention_hidden_size: null
+    ctc_loss_reduction: sum
+    ctc_zero_infinity: false
+    decoder_start_token_id: null
+    diversity_loss_weight: 0.1
+    diversity_penalty: 0.0
+    do_sample: false
+    do_stable_layer_norm: true
+    early_stopping: false
+    encoder_no_repeat_ngram_size: 0
+    eos_token_id: 2
+    exponential_decay_length_penalty: null
+    feat_extract_activation: gelu
+    feat_extract_dropout: 0.0
+    feat_extract_norm: layer
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+    feat_quantizer_dropout: 0.0
+    final_dropout: 0.0
+    finetuning_task: null
+    forced_bos_token_id: null
+    forced_eos_token_id: null
+    gradient_checkpointing: false
+    hidden_act: gelu
+    hidden_dropout: 0.2
+    hidden_size: 1024
+    id2label:
+      '0': LABEL_0
+      '1': LABEL_1
+    initializer_range: 0.02
+    intermediate_size: 4096
+    is_decoder: false
+    is_encoder_decoder: false
+    label2id:
+      LABEL_0: 0
+      LABEL_1: 1
+    layer_norm_eps: 1.0e-05
+    layerdrop: 0.0
+    length_penalty: 1.0
+    mask_feature_length: 10
+    mask_feature_min_masks: 0
+    mask_feature_prob: 0.0
+    mask_time_length: 10
+    mask_time_min_masks: 2
+    mask_time_prob: 0.1
+    max_length: 20
+    min_length: 0
+    model_type: wav2vec2
+    no_repeat_ngram_size: 0
+    num_adapter_layers: 3
+    num_attention_heads: 16
+    num_beam_groups: 1
+    num_beams: 1
+    num_codevector_groups: 2
+    num_codevectors_per_group: 320
+    num_conv_pos_embedding_groups: 16
+    num_conv_pos_embeddings: 128
+    num_feat_extract_layers: 7
+    num_hidden_layers: 24
+    num_negatives: 100
+    num_return_sequences: 1
+    output_attentions: false
+    output_hidden_size: 1024
+    output_hidden_states: false
+    output_scores: false
+    pad_token_id: 0
+    prefix: null
+    problem_type: null
+    proj_codevector_dim: 768
+    pruned_heads: {}
+    remove_invalid_values: false
+    repetition_penalty: 1.0
+    return_dict: true
+    return_dict_in_generate: false
+    sep_token_id: null
+    task_specific_params: null
+    tdnn_dilation:
+    - 1
+    - 2
+    - 3
+    - 1
+    - 1
+    tdnn_dim:
+    - 512
+    - 512
+    - 512
+    - 512
+    - 1500
+    tdnn_kernel:
+    - 5
+    - 3
+    - 3
+    - 1
+    - 1
+    temperature: 1.0
+    tie_encoder_decoder: false
+    tie_word_embeddings: true
+    tokenizer_class: null
+    top_k: 50
+    top_p: 1.0
+    torch_dtype: float32
+    torchscript: false
+    transformers_version: 4.19.0.dev0
+    typical_p: 1.0
+    use_bfloat16: false
+    use_weighted_layer_sum: false
+    vocab_size: 32
+    xvector_output_dim: 512
+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: 8
+eval_delay:
+  desc: null
+  value: 0
+eval_split_name:
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+  value: test
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+  value: 500
+evaluation_strategy:
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+  value: steps
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+  value: true
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+  value: auto
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+  value: O1
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+  value: 40
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+  value: 16
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+  value: true
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+  value: true
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+  value: amp
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+  value: 0.2
+hub_model_id:
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+  value: None
+hub_private_repo:
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+  value: false
+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
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+  value: true
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+  0%|                                                                                          | 0/4860 [00:00<?, ?it/s]
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wandb/run-20220505_173213-ykkm1chu/logs/debug.log

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'train_batch_size': 8, 'eval_batch_size': 8}
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wandb/run-20220505_173748-b097rk18/files/requirements.txt

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wandb/run-20220505_173748-b097rk18/files/wandb-metadata.json

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+        "--max_duration_in_seconds=20",
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+        "--model_name_or_path=./",
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+        "commit": "96386197e130d55a2be359d90ef99c414e1860b3"
+    },
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+    "username": "sanchit_huggingface_co",
+    "executable": "/home/sanchit_huggingface_co/gcp/bin/python3"
+}