Training in progress, step 17500

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,98 @@
+---
+language:
+- fr
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_8_0
+- generated_from_trainer
+- robust-speech-event
+model-index:
+- name: XLS-R-1B - French
+  results:
+  - task:
+      name: Automatic Speech Recognition 
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8
+      type: mozilla-foundation/common_voice_8_0
+      args: fr
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 21.65
+       - name: Test CER
+         type: cer
+         value: 6.52
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: fr
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 61.72
+       - name: Test CER
+         type: cer
+         value: 16.43
+---
+
+## Model description
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset.
+
+## Training and evaluation data
+
+It achieves the following results on the evaluation set (Step 17000):
+- Wer: 0.2172
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 7.5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2000
+- num_epochs: 5.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 2.9114        | 0.29  | 1000  | inf             | 0.9997 |
+| 1.2436        | 0.57  | 2000  | inf             | 0.4310 |
+| 1.0552        | 0.86  | 3000  | inf             | 0.3144 |
+| 1.0044        | 1.15  | 4000  | inf             | 0.2814 |
+| 0.9718        | 1.43  | 5000  | inf             | 0.2658 |
+| 0.9502        | 1.72  | 6000  | inf             | 0.2566 |
+| 0.9418        | 2.01  | 7000  | inf             | 0.2476 |
+| 0.9215        | 2.29  | 8000  | inf             | 0.2420 |
+| 0.9236        | 2.58  | 9000  | inf             | 0.2388 |
+| 0.9014        | 2.87  | 10000 | inf             | 0.2354 |
+| 0.8814        | 3.15  | 11000 | inf             | 0.2312 |
+| 0.8809        | 3.44  | 12000 | inf             | 0.2285 |
+| 0.8717        | 3.73  | 13000 | inf             | 0.2263 |
+| 0.8787        | 4.01  | 14000 | inf             | 0.2218 |
+| 0.8567        | 4.3   | 15000 | inf             | 0.2193 |
+| 0.8488        | 4.59  | 16000 | inf             | 0.2187 |
+| 0.8359        | 4.87  | 17000 | inf             | 0.2172 |
+
+Got some issue with validation loss calculation.
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.3.dev0
+- Tokenizers 0.11.0

.ipynb_checkpoints/Untitled-checkpoint.ipynb

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+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

.ipynb_checkpoints/mozilla-foundation_common_voice_8_0_fr_test_eval_results-checkpoint.txt

@@ -0,0 +1,2 @@
+WER: 0.21654808722485613
+CER: 0.06529947052490302

.ipynb_checkpoints/run-checkpoint.sh

@@ -3,7 +3,7 @@ python run_speech_recognition_ctc.py \
     --activation_dropout="0.1" \
     --dataset_name="mozilla-foundation/common_voice_8_0" \
     --dataset_config_name="fr" \
-    --eval_steps="1000" \
+    --eval_steps="500" \
     --evaluation_strategy="steps" \
     --feat_proj_dropout="0.0" \
     --freeze_feature_encoder \
@@ -20,8 +20,8 @@ python run_speech_recognition_ctc.py \
     --mask_feature_prob="0.25" \
     --mask_time_length="10" \
     --mask_time_prob="0.75" \
-    --model_name_or_path="facebook/wav2vec2-xls-r-300m" \
-    --num_train_epochs="5.0" \
+    --model_name_or_path="./checkpoint-17000" \
+    --num_train_epochs="7.0" \
     --output_dir="./" \
     --overwrite_output_dir \
     --per_device_train_batch_size="16" \
@@ -29,7 +29,7 @@ python run_speech_recognition_ctc.py \
     --preprocessing_num_workers="4" \
     --push_to_hub \
     --report_to="wandb" \
-    --save_steps="1000" \
+    --save_steps="500" \
     --save_total_limit="3" \
     --text_column_name="sentence" \
     --use_auth_token \

.ipynb_checkpoints/special_tokens_map-checkpoint.json

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

.ipynb_checkpoints/speech-recognition-community-v2_dev_data_fr_validation_eval_results-checkpoint.txt

@@ -0,0 +1,2 @@
+WER: 0.617242860210436
+CER: 0.16435482455790507

.ipynb_checkpoints/tokenizer_config-checkpoint.json

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+{"unk_token": "[UNK]", "bos_token": null, "eos_token": null, "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}

.ipynb_checkpoints/train_results-checkpoint.json

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+{
+    "epoch": 5.0,
+    "train_loss": 1.187884036554109,
+    "train_runtime": 143109.8834,
+    "train_samples": 446485,
+    "train_samples_per_second": 15.599,
+    "train_steps_per_second": 0.122
+}

Untitled.ipynb

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+{
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+   "cell_type": "code",
+   "execution_count": null,
+   "id": "580c2f64",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
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+   "codemirror_mode": {
+    "name": "ipython",
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+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
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+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "facebook/wav2vec2-xls-r-300m",
+  "_name_or_path": "./checkpoint-17000",
   "activation_dropout": 0.1,
   "adapter_kernel_size": 3,
   "adapter_stride": 2,

pytorch_model.bin

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run.sh

@@ -3,7 +3,7 @@ python run_speech_recognition_ctc.py \
     --activation_dropout="0.1" \
     --dataset_name="mozilla-foundation/common_voice_8_0" \
     --dataset_config_name="fr" \
-    --eval_steps="1000" \
+    --eval_steps="500" \
     --evaluation_strategy="steps" \
     --feat_proj_dropout="0.0" \
     --freeze_feature_encoder \
@@ -20,8 +20,8 @@ python run_speech_recognition_ctc.py \
     --mask_feature_prob="0.25" \
     --mask_time_length="10" \
     --mask_time_prob="0.75" \
-    --model_name_or_path="facebook/wav2vec2-xls-r-300m" \
-    --num_train_epochs="5.0" \
+    --model_name_or_path="./checkpoint-17000" \
+    --num_train_epochs="7.0" \
     --output_dir="./" \
     --overwrite_output_dir \
     --per_device_train_batch_size="16" \
@@ -29,7 +29,7 @@ python run_speech_recognition_ctc.py \
     --preprocessing_num_workers="4" \
     --push_to_hub \
     --report_to="wandb" \
-    --save_steps="1000" \
+    --save_steps="500" \
     --save_total_limit="3" \
     --text_column_name="sentence" \
     --use_auth_token \

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+2022-02-05 05:58:46,675 DEBUG   HandlerThread:3742 [handler.py:handle_request():131] handle_request: poll_exit
+2022-02-05 05:58:46,675 DEBUG   SenderThread:3742 [sender.py:send_request():249] send_request: poll_exit
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+2022-02-05 05:58:46,778 DEBUG   SenderThread:3742 [sender.py:send_request():249] send_request: poll_exit
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+2022-02-05 05:58:46,985 DEBUG   SenderThread:3742 [sender.py:send_request():249] send_request: poll_exit
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+2022-02-05 05:58:47,088 DEBUG   SenderThread:3742 [sender.py:send_request():249] send_request: poll_exit
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+2022-02-05 05:58:47,190 DEBUG   SenderThread:3742 [sender.py:send_request():249] send_request: poll_exit
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+2022-02-05 05:58:47,293 DEBUG   SenderThread:3742 [sender.py:send_request():249] send_request: poll_exit
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+2022-02-05 05:58:47,398 INFO    Thread-13 :3742 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-cv_8-fr/wandb/run-20220203_135844-2tzexn1o/files/wandb-summary.json
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+2022-02-05 05:58:48,539 DEBUG   HandlerThread:3742 [handler.py:handle_request():131] handle_request: defer
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+2022-02-05 05:58:48,542 DEBUG   SenderThread:3742 [sender.py:send():235] send: final
+2022-02-05 05:58:48,543 INFO    HandlerThread:3742 [handler.py:handle_request_defer():154] handle defer: 9
+2022-02-05 05:58:48,543 DEBUG   SenderThread:3742 [sender.py:send():235] send: footer
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+2022-02-05 05:58:48,642 DEBUG   SenderThread:3742 [sender.py:send_request():249] send_request: poll_exit
+2022-02-05 05:58:48,642 INFO    SenderThread:3742 [file_pusher.py:join():182] waiting for file pusher
+2022-02-05 05:58:48,949 DEBUG   HandlerThread:3742 [handler.py:handle_request():131] handle_request: get_summary
+2022-02-05 05:58:49,023 DEBUG   HandlerThread:3742 [handler.py:handle_request():131] handle_request: sampled_history
+2022-02-05 05:58:49,028 DEBUG   HandlerThread:3742 [handler.py:handle_request():131] handle_request: shutdown
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+2022-02-05 05:58:49,542 INFO    WriterThread:3742 [datastore.py:close():281] close: /workspace/xls-r-300m-cv_8-fr/wandb/run-20220203_135844-2tzexn1o/run-2tzexn1o.wandb
+2022-02-05 05:58:49,947 INFO    SenderThread:3742 [sender.py:finish():1075] shutting down sender
+2022-02-05 05:58:49,947 INFO    SenderThread:3742 [file_pusher.py:finish():177] shutting down file pusher
+2022-02-05 05:58:49,948 INFO    SenderThread:3742 [file_pusher.py:join():182] waiting for file pusher
+2022-02-05 05:58:49,955 INFO    MainThread:3742 [internal.py:handle_exit():79] Internal process exited

wandb/run-20220203_135844-2tzexn1o/logs/debug.log

@@ -24,3 +24,125 @@ config: {}
 2022-02-03 13:58:46,709 INFO    MainThread:42729 [wandb_init.py:init():651] run started, returning control to user process
 2022-02-03 13:58:46,712 INFO    MainThread:42729 [wandb_run.py:_config_callback():966] 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': 45, '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': 0.1, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 46, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.75, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.25, 'mask_feature_length': 64, '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': 16, 'per_device_eval_batch_size': 16, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 8, 'eval_accumulation_steps': 'None', 'learning_rate': 7.5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 5.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 2000, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Feb03_10-26-21_job-8ff6a64a-ab40-4ef5-b3ec-d0e2f05ceb9f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 100, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 1000, 'save_total_limit': 3, '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': 1000, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': './', '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': 16, 'eval_batch_size': 16}
 2022-02-03 13:58:46,715 INFO    MainThread:42729 [wandb_watch.py:watch():43] Watching
+2022-02-05 05:58:42,614 INFO    MainThread:42729 [wandb_run.py:_atexit_cleanup():1797] got exitcode: 0
+2022-02-05 05:58:42,620 INFO    MainThread:42729 [wandb_run.py:_restore():1769] restore
+2022-02-05 05:58:45,392 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2043
+  total_bytes: 2043
+}
+
+2022-02-05 05:58:45,562 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2043
+  total_bytes: 2043
+}
+
+2022-02-05 05:58:46,573 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2043
+  total_bytes: 2043
+}
+
+2022-02-05 05:58:46,676 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2043
+  total_bytes: 2872686
+}
+
+2022-02-05 05:58:46,779 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2043
+  total_bytes: 2872686
+}
+
+2022-02-05 05:58:46,883 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 1590434
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+}
+
+2022-02-05 05:58:46,986 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2872686
+  total_bytes: 2872686
+}
+
+2022-02-05 05:58:47,088 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2872686
+  total_bytes: 2872686
+}
+
+2022-02-05 05:58:47,191 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2872686
+  total_bytes: 2872686
+}
+
+2022-02-05 05:58:47,294 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2872686
+  total_bytes: 2872686
+}
+
+2022-02-05 05:58:47,400 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2872686
+  total_bytes: 2872686
+}
+
+2022-02-05 05:58:47,503 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2872686
+  total_bytes: 2872686
+}
+
+2022-02-05 05:58:48,539 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2872686
+  total_bytes: 2872686
+}
+
+2022-02-05 05:58:48,948 INFO    MainThread:42729 [wandb_run.py:_wait_for_finish():1929] got exit ret: done: true
+exit_result {
+}
+file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2872686
+  total_bytes: 2872686
+}
+local_info {
+}
+
+2022-02-05 05:58:50,098 INFO    MainThread:42729 [wandb_run.py:_append_history():2144] rendering history
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wandb/run-20220203_135844-2tzexn1o/run-2tzexn1o.wandb

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+ 71%|█████████████████████████████████████████████████████████████████████████████████████████                                    | 17399/24416 [4:15:37<9:28:18,  4.86s/it]
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+ 72%|████████████████████████████████████████████████████████████████████████████████████████▊                                   | 17499/24416 [4:28:42<19:12:46, 10.00s/it]
+***** Running Evaluation *****███████████████████████████████████████████████████████████████▉                                   | 17500/24416 [4:28:52<18:57:50,  9.87s/it]
+  Num examples = 16021
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+Saving model checkpoint to ./checkpoint-17500
+Configuration saved in ./checkpoint-17500/config.json████████████████████████████████████████▉                                   | 17500/24416 [4:41:09<18:57:50,  9.87s/it]
+Model weights saved in ./checkpoint-17500/pytorch_model.bin
+Configuration saved in ./checkpoint-17500/preprocessor_config.json

wandb/run-20220206_014057-iss04l8x/files/requirements.txt

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wandb/run-20220206_014057-iss04l8x/files/wandb-metadata.json

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+    "heartbeatAt": "2022-02-06T01:40:59.992219",
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+    "cuda": null,
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+        "--dataset_name=mozilla-foundation/common_voice_8_0",
+        "--dataset_config_name=fr",
+        "--eval_steps=500",
+        "--evaluation_strategy=steps",
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+        "--mask_feature_length=64",
+        "--mask_feature_prob=0.25",
+        "--mask_time_length=10",
+        "--mask_time_prob=0.75",
+        "--model_name_or_path=./checkpoint-17000",
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+    "state": "running",
+    "program": "run_speech_recognition_ctc.py",
+    "codePath": "run_speech_recognition_ctc.py",
+    "git": {
+        "remote": "https://huggingface.co/Plim/xls-r-300m-cv_8-fr",
+        "commit": "de03851f0c923eaedfb728940a36872dbad1838a"
+    },
+    "email": "lim.pascal93@gmail.com",
+    "root": "/workspace/xls-r-300m-cv_8-fr",
+    "host": "job-8ff6a64a-ab40-4ef5-b3ec-d0e2f05ceb9f",
+    "username": "ovh",
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+}

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'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': 16, 'eval_batch_size': 16}
+2022-02-06 01:41:00,623 INFO    MainThread:32490 [wandb_watch.py:watch():43] Watching