clean start

.gitignore

@@ -1 +1,3 @@
-checkpoint-*/
+checkpoint-*/
+
+wandb

.ipynb_checkpoints/README-checkpoint.md

@@ -1,70 +0,0 @@
----
-language:
-- fr
-license: apache-2.0
-tags:
-- automatic-speech-recognition
-- mozilla-foundation/common_voice_7_0
-- generated_from_trainer
-datasets:
-- common_voice
-model-index:
-- name: ''
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# 
-
-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_7_0 - FR dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5417
-- Wer: 0.4479
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 7.5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 32
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 2000
-- num_epochs: 0.2
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.9106        | 0.04  | 500  | 6.7171          | 1.0    |
-| 3.0034        | 0.08  | 1000 | 3.0126          | 1.0    |
-| 2.8699        | 0.12  | 1500 | 2.8509          | 0.9817 |
-| 1.629         | 0.16  | 2000 | 0.7787          | 0.5861 |
-
-
-### Framework versions
-
-- Transformers 4.17.0.dev0
-- Pytorch 1.10.2+cu102
-- Datasets 1.18.2.dev0
-- Tokenizers 0.11.0

.ipynb_checkpoints/run-checkpoint.sh

@@ -20,14 +20,12 @@ python run_speech_recognition_ctc.py \
     --mask_feature_prob="0.25" \
     --mask_time_length="10" \
     --mask_time_prob="0.75" \
-    --max_train_samples="1000" \
-    --max_eval_samples="200" \
     --model_name_or_path="facebook/wav2vec2-xls-r-300m" \
-    --num_train_epochs="0.4" \
+    --num_train_epochs="2.0" \
     --output_dir="./" \
     --overwrite_output_dir \
-    --per_device_train_batch_size="8" \
-    --per_device_eval_batch_size="8" \
+    --per_device_train_batch_size="16" \
+    --per_device_eval_batch_size="16" \
     --preprocessing_num_workers="4" \
     --push_to_hub \
     --report_to="wandb" \

README.md

@@ -1,62 +0,0 @@
----
-language:
-- fr
-license: apache-2.0
-tags:
-- automatic-speech-recognition
-- mozilla-foundation/common_voice_7_0
-- generated_from_trainer
-model-index:
-- name: ''
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# 
-
-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_7_0 - FR dataset.
-It achieves the following results on the evaluation set:
-- Loss: 16.9129
-- Wer: 2.3789
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 7.5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 64
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 2000
-- num_epochs: 0.4
-- mixed_precision_training: Native AMP
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.17.0.dev0
-- Pytorch 1.10.2+cu102
-- Datasets 1.18.2.dev0
-- Tokenizers 0.11.0

all_results.json

@@ -1,14 +0,0 @@
-{
-    "epoch": 0.38,
-    "eval_loss": 16.912879943847656,
-    "eval_runtime": 8.6337,
-    "eval_samples": 200,
-    "eval_samples_per_second": 23.165,
-    "eval_steps_per_second": 2.896,
-    "eval_wer": 2.3789039481437833,
-    "train_loss": 13.584136962890625,
-    "train_runtime": 23.2007,
-    "train_samples": 1000,
-    "train_samples_per_second": 17.241,
-    "train_steps_per_second": 0.259
-}

config.json

@@ -1,107 +0,0 @@
-{
-  "_name_or_path": "facebook/wav2vec2-xls-r-300m",
-  "activation_dropout": 0.1,
-  "adapter_kernel_size": 3,
-  "adapter_stride": 2,
-  "add_adapter": false,
-  "apply_spec_augment": true,
-  "architectures": [
-    "Wav2Vec2ForCTC"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 1,
-  "classifier_proj_size": 256,
-  "codevector_dim": 768,
-  "contrastive_logits_temperature": 0.1,
-  "conv_bias": true,
-  "conv_dim": [
-    512,
-    512,
-    512,
-    512,
-    512,
-    512,
-    512
-  ],
-  "conv_kernel": [
-    10,
-    3,
-    3,
-    3,
-    3,
-    2,
-    2
-  ],
-  "conv_stride": [
-    5,
-    2,
-    2,
-    2,
-    2,
-    2,
-    2
-  ],
-  "ctc_loss_reduction": "mean",
-  "ctc_zero_infinity": false,
-  "diversity_loss_weight": 0.1,
-  "do_stable_layer_norm": true,
-  "eos_token_id": 2,
-  "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,
-  "hidden_act": "gelu",
-  "hidden_dropout": 0.0,
-  "hidden_size": 1024,
-  "initializer_range": 0.02,
-  "intermediate_size": 4096,
-  "layer_norm_eps": 1e-05,
-  "layerdrop": 0.0,
-  "mask_feature_length": 64,
-  "mask_feature_min_masks": 0,
-  "mask_feature_prob": 0.25,
-  "mask_time_length": 10,
-  "mask_time_min_masks": 2,
-  "mask_time_prob": 0.75,
-  "model_type": "wav2vec2",
-  "num_adapter_layers": 3,
-  "num_attention_heads": 16,
-  "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,
-  "output_hidden_size": 1024,
-  "pad_token_id": 40,
-  "proj_codevector_dim": 768,
-  "tdnn_dilation": [
-    1,
-    2,
-    3,
-    1,
-    1
-  ],
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-    512,
-    512,
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-    512,
-    1500
-  ],
-  "tdnn_kernel": [
-    5,
-    3,
-    3,
-    1,
-    1
-  ],
-  "torch_dtype": "float32",
-  "transformers_version": "4.17.0.dev0",
-  "use_weighted_layer_sum": false,
-  "vocab_size": 41,
-  "xvector_output_dim": 512
-}

eval_results.json

@@ -1,9 +0,0 @@
-{
-    "epoch": 0.38,
-    "eval_loss": 16.912879943847656,
-    "eval_runtime": 8.6337,
-    "eval_samples": 200,
-    "eval_samples_per_second": 23.165,
-    "eval_steps_per_second": 2.896,
-    "eval_wer": 2.3789039481437833
-}

preprocessor_config.json

@@ -1,9 +0,0 @@
-{
-  "do_normalize": true,
-  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
-  "feature_size": 1,
-  "padding_side": "right",
-  "padding_value": 0,
-  "return_attention_mask": true,
-  "sampling_rate": 16000
-}

pytorch_model.bin

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run.sh

@@ -20,14 +20,12 @@ python run_speech_recognition_ctc.py \
     --mask_feature_prob="0.25" \
     --mask_time_length="10" \
     --mask_time_prob="0.75" \
-    --max_train_samples="1000" \
-    --max_eval_samples="200" \
     --model_name_or_path="facebook/wav2vec2-xls-r-300m" \
-    --num_train_epochs="0.4" \
+    --num_train_epochs="2.0" \
     --output_dir="./" \
     --overwrite_output_dir \
-    --per_device_train_batch_size="8" \
-    --per_device_eval_batch_size="8" \
+    --per_device_train_batch_size="16" \
+    --per_device_eval_batch_size="16" \
     --preprocessing_num_workers="4" \
     --push_to_hub \
     --report_to="wandb" \

train_results.json

@@ -1,8 +0,0 @@
-{
-    "epoch": 0.38,
-    "train_loss": 13.584136962890625,
-    "train_runtime": 23.2007,
-    "train_samples": 1000,
-    "train_samples_per_second": 17.241,
-    "train_steps_per_second": 0.259
-}

trainer_state.json

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-{
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-      "train_steps_per_second": 0.259
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training_args.bin

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wandb/debug-internal.log

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-run-20220130_230018-ktkg6ghu/logs/debug-internal.log

wandb/debug.log

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-run-20220130_230018-ktkg6ghu/logs/debug.log

wandb/latest-run

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-run-20220130_230018-ktkg6ghu

wandb/run-20220130_224738-2uzt3kt1/files/config.yaml

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wandb/run-20220130_224738-2uzt3kt1/files/output.log

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-
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- 67%|██████████████████████████████████████████████████████████████████████████████████████████                                             | 2/3 [00:07<00:03,  3.88s/it]
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-Training completed. Do not forget to share your model on huggingface.co/models =)
-100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:10<00:00,  3.48s/it]
-Saving model checkpoint to ./
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-Saving model checkpoint to ./
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wandb/run-20220130_224738-2uzt3kt1/files/requirements.txt

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wandb/run-20220130_224738-2uzt3kt1/files/wandb-metadata.json

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-2022-01-30 22:47:40,357 WARNING SenderThread:23196 [sender.py:send_metric():897] Seen metric with glob (shouldnt happen)
-2022-01-30 22:47:40,601 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/requirements.txt
-2022-01-30 22:47:40,601 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json
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-2022-01-30 22:47:40,601 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/conda-environment.yaml
-2022-01-30 22:47:40,709 INFO    Thread-11 :23196 [upload_job.py:push():137] Uploaded file /tmp/tmp51rrl_mrwandb/2urk4c1m-wandb-metadata.json
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-2022-01-30 22:47:50,679 INFO    SenderThread:23196 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
-2022-01-30 22:47:51,607 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json
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-2022-01-30 22:47:55,488 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: stop_status
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-2022-01-30 22:47:56,611 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:48:07,838 DEBUG   SenderThread:23196 [sender.py:send():234] send: stats
-2022-01-30 22:48:10,621 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml
-2022-01-30 22:48:10,741 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: stop_status
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-2022-01-30 22:48:20,628 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:48:25,903 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: stop_status
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-2022-01-30 22:48:38,112 DEBUG   SenderThread:23196 [sender.py:send():234] send: stats
-2022-01-30 22:48:41,064 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: stop_status
-2022-01-30 22:48:41,065 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: stop_status
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-2022-01-30 22:48:56,228 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: stop_status
-2022-01-30 22:49:02,656 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:06,659 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:08,329 DEBUG   SenderThread:23196 [sender.py:send():234] send: stats
-2022-01-30 22:49:08,660 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:10,661 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:11,388 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: stop_status
-2022-01-30 22:49:11,389 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: stop_status
-2022-01-30 22:49:12,663 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:14,664 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:16,666 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:18,553 DEBUG   SenderThread:23196 [sender.py:send():234] send: metric
-2022-01-30 22:49:18,554 DEBUG   SenderThread:23196 [sender.py:send():234] send: metric
-2022-01-30 22:49:18,554 DEBUG   SenderThread:23196 [sender.py:send():234] send: metric
-2022-01-30 22:49:18,554 DEBUG   SenderThread:23196 [sender.py:send():234] send: metric
-2022-01-30 22:49:18,554 DEBUG   SenderThread:23196 [sender.py:send():234] send: metric
-2022-01-30 22:49:18,555 DEBUG   SenderThread:23196 [sender.py:send():234] send: history
-2022-01-30 22:49:18,555 DEBUG   SenderThread:23196 [sender.py:send():234] send: summary
-2022-01-30 22:49:18,556 INFO    SenderThread:23196 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
-2022-01-30 22:49:18,667 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json
-2022-01-30 22:49:18,667 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:20,670 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:22,672 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:26,645 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: stop_status
-2022-01-30 22:49:26,645 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: stop_status
-2022-01-30 22:49:38,549 DEBUG   SenderThread:23196 [sender.py:send():234] send: stats
-2022-01-30 22:49:41,813 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: stop_status
-2022-01-30 22:49:41,814 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: stop_status
-2022-01-30 22:49:42,687 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml
-2022-01-30 22:49:42,688 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:46,690 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:48,691 INFO    Thread-8  :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:52,753 DEBUG   SenderThread:23196 [sender.py:send():234] send: telemetry
-2022-01-30 22:49:52,754 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:52,755 DEBUG   SenderThread:23196 [sender.py:send():234] send: exit
-2022-01-30 22:49:52,755 INFO    SenderThread:23196 [sender.py:send_exit():366] handling exit code: 0
-2022-01-30 22:49:52,756 INFO    SenderThread:23196 [sender.py:send_exit():368] handling runtime: 133
-2022-01-30 22:49:52,757 INFO    SenderThread:23196 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
-2022-01-30 22:49:52,757 INFO    SenderThread:23196 [sender.py:send_exit():374] send defer
-2022-01-30 22:49:52,757 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:52,759 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
-2022-01-30 22:49:52,759 INFO    HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 0
-2022-01-30 22:49:52,759 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: defer
-2022-01-30 22:49:52,759 INFO    SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 0
-2022-01-30 22:49:52,760 INFO    SenderThread:23196 [sender.py:transition_state():387] send defer: 1
-2022-01-30 22:49:52,760 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
-2022-01-30 22:49:52,760 INFO    HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 1
-2022-01-30 22:49:52,860 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: defer
-2022-01-30 22:49:52,860 INFO    SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 1
-2022-01-30 22:49:52,860 INFO    SenderThread:23196 [sender.py:transition_state():387] send defer: 2
-2022-01-30 22:49:52,862 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:52,862 DEBUG   SenderThread:23196 [sender.py:send():234] send: stats
-2022-01-30 22:49:52,863 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:52,864 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
-2022-01-30 22:49:52,864 INFO    HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 2
-2022-01-30 22:49:52,865 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: defer
-2022-01-30 22:49:52,865 INFO    SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 2
-2022-01-30 22:49:52,865 INFO    SenderThread:23196 [sender.py:transition_state():387] send defer: 3
-2022-01-30 22:49:52,866 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
-2022-01-30 22:49:52,866 INFO    HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 3
-2022-01-30 22:49:52,869 DEBUG   SenderThread:23196 [sender.py:send():234] send: summary
-2022-01-30 22:49:52,870 INFO    SenderThread:23196 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
-2022-01-30 22:49:52,870 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: defer
-2022-01-30 22:49:52,871 INFO    SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 3
-2022-01-30 22:49:52,871 INFO    SenderThread:23196 [sender.py:transition_state():387] send defer: 4
-2022-01-30 22:49:52,871 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
-2022-01-30 22:49:52,872 INFO    HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 4
-2022-01-30 22:49:52,872 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: defer
-2022-01-30 22:49:52,872 INFO    SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 4
-2022-01-30 22:49:52,966 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:53,114 INFO    SenderThread:23196 [sender.py:transition_state():387] send defer: 5
-2022-01-30 22:49:53,114 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:53,116 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
-2022-01-30 22:49:53,116 INFO    HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 5
-2022-01-30 22:49:53,116 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: defer
-2022-01-30 22:49:53,116 INFO    SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 5
-2022-01-30 22:49:53,116 INFO    SenderThread:23196 [dir_watcher.py:finish():283] shutting down directory watcher
-2022-01-30 22:49:53,218 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:53,695 INFO    SenderThread:23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml
-2022-01-30 22:49:53,696 INFO    SenderThread:23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:53,696 INFO    SenderThread:23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json
-2022-01-30 22:49:53,697 INFO    SenderThread:23196 [dir_watcher.py:finish():313] scan: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files
-2022-01-30 22:49:53,697 INFO    SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/conda-environment.yaml conda-environment.yaml
-2022-01-30 22:49:53,698 INFO    SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-metadata.json wandb-metadata.json
-2022-01-30 22:49:53,698 INFO    SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log output.log
-2022-01-30 22:49:53,698 INFO    SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/requirements.txt requirements.txt
-2022-01-30 22:49:53,699 INFO    SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml config.yaml
-2022-01-30 22:49:53,700 INFO    SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json wandb-summary.json
-2022-01-30 22:49:53,700 INFO    SenderThread:23196 [sender.py:transition_state():387] send defer: 6
-2022-01-30 22:49:53,701 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:53,713 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
-2022-01-30 22:49:53,720 INFO    HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 6
-2022-01-30 22:49:53,724 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: defer
-2022-01-30 22:49:53,729 INFO    SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 6
-2022-01-30 22:49:53,729 INFO    SenderThread:23196 [file_pusher.py:finish():177] shutting down file pusher
-2022-01-30 22:49:53,804 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:53,804 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:53,909 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:53,910 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:54,015 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:54,016 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:54,119 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:54,119 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:54,223 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:54,223 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:54,253 INFO    Thread-14 :23196 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml
-2022-01-30 22:49:54,257 INFO    Thread-13 :23196 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/requirements.txt
-2022-01-30 22:49:54,291 INFO    Thread-15 :23196 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json
-2022-01-30 22:49:54,327 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:54,327 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:54,339 INFO    Thread-12 :23196 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
-2022-01-30 22:49:54,431 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:54,431 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:54,534 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
-2022-01-30 22:49:54,535 DEBUG   SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
-2022-01-30 22:49:54,540 INFO    Thread-7  :23196 [sender.py:transition_state():387] send defer: 7
-2022-01-30 22:49:54,541 DEBUG   HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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wandb/run-20220130_224738-2uzt3kt1/logs/debug.log

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'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': 8, 'eval_batch_size': 8}
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wandb/run-20220130_230018-ktkg6ghu/files/config.yaml

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wandb/run-20220130_230018-ktkg6ghu/files/output.log

@@ -1,62 +0,0 @@
-
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- 83%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                      | 5/6 [00:18<00:03,  3.64s/it]
-100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:20<00:00,  3.23s/it]
-Training completed. Do not forget to share your model on huggingface.co/models =)
-100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:20<00:00,  3.47s/it]
-Saving model checkpoint to ./
-Configuration saved in ./config.json
-Model weights saved in ./pytorch_model.bin
-Configuration saved in ./preprocessor_config.json
-Saving model checkpoint to ./
-Configuration saved in ./config.json
-Model weights saved in ./pytorch_model.bin
-Configuration saved in ./preprocessor_config.json
-Upload file pytorch_model.bin:   1%|▋                                                                                                | 8.55M/1.18G [00:01<02:22, 8.82MB/s]
-Upload file training_args.bin: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.92k/2.92k [00:00<?, ?B/s]
-01/30/2022 23:02:55 - WARNING - huggingface_hub.repository - To https://huggingface.co/Plim/xls-r-300m-fr
-   1fb68dc..ab9abf3  main -> main0%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.92k/2.92k [00:00<?, ?B/s]
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-Upload file training_args.bin: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.92k/2.92k [00:50<?, ?B/s]
-Dropping the following result as it does not have all the necessary fields:██████████████████████████████████████████████████████████████████| 2.92k/2.92k [00:50<?, ?B/s]
-{}
-01/30/2022 23:03:03 - WARNING - huggingface_hub.repository - To https://huggingface.co/Plim/xls-r-300m-fr
-   ab9abf3..565d898  main -> main
-To https://huggingface.co/Plim/xls-r-300m-fr
-   ab9abf3..565d898  main -> main
-***** train metrics *****
-  epoch                    =       0.38
-  train_loss               =    13.5841
-  train_runtime            = 0:00:23.20
-  train_samples            =       1000
-  train_samples_per_second =     17.241
-  train_steps_per_second   =      0.259
-01/30/2022 23:03:06 - INFO - __main__ - *** Evaluate ***
-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 = 200
-  Batch size = 8
-
-
-
-
-100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 25/25 [00:08<00:00,  2.79it/s]
-***** eval metrics *****
-  epoch                   =       0.38
-  eval_loss               =    16.9129
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-100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 25/25 [00:08<00:00,  3.03it/s]
-Saving model checkpoint to ./
-Configuration saved in ./config.json
-Model weights saved in ./pytorch_model.bin
-Configuration saved in ./preprocessor_config.json
-01/30/2022 23:03:39 - WARNING - huggingface_hub.repository - To https://huggingface.co/Plim/xls-r-300m-fr
-   565d898..1fb6b5d  main -> main
-To https://huggingface.co/Plim/xls-r-300m-fr

wandb/run-20220130_230018-ktkg6ghu/files/requirements.txt

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wandb/run-20220130_230018-ktkg6ghu/files/wandb-metadata.json

@@ -1,63 +0,0 @@
-{
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-    "cuda": null,
-    "args": [
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-        "--dataset_name=mozilla-foundation/common_voice_7_0",
-        "--dataset_config_name=fr",
-        "--eval_steps=500",
-        "--evaluation_strategy=steps",
-        "--feat_proj_dropout=0.0",
-        "--freeze_feature_encoder",
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-        "--layerdrop=0.0",
-        "--learning_rate=7.5e-5",
-        "--length_column_name=input_length",
-        "--load_best_model_at_end",
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-        "--mask_feature_length=64",
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-        "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
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-        "--push_to_hub",
-        "--report_to=wandb",
-        "--save_steps=500",
-        "--save_total_limit=3",
-        "--text_column_name=sentence",
-        "--use_auth_token",
-        "--warmup_steps=2000",
-        "--do_train",
-        "--do_eval"
-    ],
-    "state": "running",
-    "program": "run_speech_recognition_ctc.py",
-    "codePath": "run_speech_recognition_ctc.py",
-    "git": {
-        "remote": "https://huggingface.co/Plim/xls-r-300m-fr",
-        "commit": "1fb68dc4e7aab3ec7e3f3b252fb785ff9e047418"
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-    "email": "lim.pascal93@gmail.com",
-    "root": "/workspace/xls-r-300m-fr",
-    "host": "job-3261699b-76eb-4c28-8419-66a66c5c9199",
-    "username": "ovh",
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wandb/run-20220130_230018-ktkg6ghu/files/wandb-summary.json

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wandb/run-20220130_230018-ktkg6ghu/logs/debug.log

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'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': 41, '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': 8, 'per_device_eval_batch_size': 8, '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': 0.4, '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/Jan30_22-59-56_job-3261699b-76eb-4c28-8419-66a66c5c9199', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 100, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, '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': 500, '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': 8, 'eval_batch_size': 8}
-2022-01-30 23:00:20,811 INFO    MainThread:28546 [wandb_watch.py:watch():43] Watching