Training in progress, step 500

.ipynb_checkpoints/added_tokens-checkpoint.json

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.ipynb_checkpoints/config-checkpoint.json

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added_tokens.json

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config.json

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preprocessor_config.json

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+  1%|█▌                                                                                                                          | 99/7780 [04:08<2:17:38,  1.08s/it]
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+  3%|███▏                                                                                                                       | 199/7780 [08:14<2:24:26,  1.14s/it]
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+  4%|████▋                                                                                                                      | 300/7780 [12:19<2:14:04,  1.08s/it]
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+  5%|██████▎                                                                                                                    | 399/7780 [16:35<7:56:31,  3.87s/it]
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+  6%|███████▉                                                                                                                   | 499/7780 [20:46<7:04:20,  3.50s/it]
+  6%|███████▉                                                                                                                   | 500/7780 [20:49<7:04:04,  3.50s/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 = 4494
+  Batch size = 64
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+
+Configuration saved in ./checkpoint-500/config.json
+Model weights saved in ./checkpoint-500/pytorch_model.bin
+Configuration saved in ./checkpoint-500/preprocessor_config.json

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+    "startedAt": "2022-02-01T21:43:24.830312",
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+    "gpu": "Tesla V100S-PCIE-32GB",
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+    "cuda": null,
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+        "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+        "--dataset_config_name=pt",
+        "--cache_dir=../downloaded_data",
+        "--output_dir=./",
+        "--overwrite_output_dir",
+        "--num_train_epochs=20",
+        "--per_device_train_batch_size=64",
+        "--per_device_eval_batch_size=64",
+        "--gradient_accumulation_steps=1",
+        "--learning_rate=1e-4",
+        "--warmup_steps=2000",
+        "--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=3",
+        "--freeze_feature_encoder",
+        "--feat_proj_dropout=0.0",
+        "--mask_time_prob=0.65",
+        "--mask_time_length=10",
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+        "--mask_feature_length=10",
+        "--gradient_checkpointing",
+        "--report_to=wandb",
+        "--run_name=xls-r-300m-fr",
+        "--max_eval_samples=4500",
+        "--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-pt",
+        "commit": "a989482db2aaf328702b11eff59cc2151cab9001"
+    },
+    "email": "alexandrenap@hotmail.fr",
+    "root": "/workspace/xls-r-300m-pt",
+    "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+    "username": "ovh",
+    "executable": "/opt/conda/bin/python"
+}

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