Training in progress, step 500

pytorch_model.bin

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run-300M.sh

@@ -12,7 +12,7 @@ python src/run_speech_recognition_ctc_bnb.py \
        --num_train_epochs=100 \
        --per_device_train_batch_size=72 \
        --per_device_eval_batch_size=72 \
-       --gradient_accumulation_steps=1 \
+       --gradient_accumulation_steps=2 \
        --learning_rate=3e-4 \
        --save_total_limit=1 \
        --warmup_steps=500 \

special_tokens_map.json

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-{"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}, {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}]}
+{"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}]}

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wandb/debug-internal.log

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wandb/debug.log

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wandb/latest-run

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wandb/run-20220129_170809-3lal72pm/files/output.log

@@ -537,3 +537,492 @@ Configuration saved in ./checkpoint-500/config.json
 {'eval_loss': 0.4678382873535156, 'eval_wer': 0.5768055997454661, 'eval_runtime': 131.6765, 'eval_samples_per_second': 19.814, 'eval_steps_per_second': 0.281, 'epoch': 6.25}
 Model weights saved in ./checkpoint-500/pytorch_model.bin
 Configuration saved in ./checkpoint-500/preprocessor_config.json
+Configuration saved in ./preprocessor_config.json
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+  7%|████████████▌                                                                                                                                                           | 599/8000 [45:39<8:13:59,  4.00s/it]
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+  2%|████▏                                                                                                                                                                  | 100/4000 [14:45<11:11:07, 10.33s/it]
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+  5%|████████▍                                                                                                                                                               | 200/4000 [29:01<6:51:39,  6.50s/it]
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+  7%|████████████▌                                                                                                                                                           | 299/4000 [43:27<9:09:26,  8.91s/it]
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+ 10%|████████████████▊                                                                                                                                                       | 400/4000 [57:55<6:39:18,  6.66s/it]
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+ 12%|████████████████████▊                                                                                                                                                 | 500/4000 [1:12:35<9:56:15, 10.22s/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 = 2609
+  Batch size = 72
+{'loss': 0.3174, 'learning_rate': 0.000998, 'epoch': 12.5}
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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

wandb/run-20220129_182318-2mzfaga3/files/requirements.txt

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wandb/run-20220129_182318-2mzfaga3/files/wandb-metadata.json

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+{
+    "os": "Linux-4.18.0-305.10.2.el8_4.x86_64-x86_64-with-glibc2.28",
+    "python": "3.9.6",
+    "heartbeatAt": "2022-01-29T23:23:19.510385",
+    "startedAt": "2022-01-29T23:23:18.520145",
+    "docker": null,
+    "gpu": "Tesla V100-PCIE-32GB",
+    "gpu_count": 3,
+    "cpu_count": 64,
+    "cuda": null,
+    "args": [
+        "--dataset_name=mozilla-foundation/common_voice_7_0",
+        "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+        "--dataset_config_name=et",
+        "--output_dir=./",
+        "--overwrite_output_dir",
+        "--num_train_epochs=100",
+        "--per_device_train_batch_size=72",
+        "--per_device_eval_batch_size=72",
+        "--gradient_accumulation_steps=2",
+        "--learning_rate=3e-4",
+        "--save_total_limit=1",
+        "--warmup_steps=500",
+        "--evaluation_strategy=steps",
+        "--text_column_name=sentence",
+        "--length_column_name=input_length",
+        "--save_steps=500",
+        "--eval_steps=500",
+        "--logging_steps=100",
+        "--layerdrop=0.0",
+        "--freeze_feature_encoder",
+        "--feat_proj_dropout=0.1",
+        "--chars_to_ignore",
+        ",",
+        "?",
+        ".",
+        "!",
+        "-",
+        ";",
+        ":",
+        "\"",
+        "\u201c",
+        "%",
+        "\u2018",
+        "\u201d",
+        "\ufffd",
+        "\u2014",
+        "\u2019",
+        "\u2026",
+        "\u2013",
+        "--gradient_checkpointing",
+        "--lr_scheduler_type=cosine",
+        "--fp16",
+        "--group_by_length",
+        "--mask_time_prob=0.1",
+        "--mask_time_length=10",
+        "--report_to=wandb",
+        "--run_name=cosine+drop_proj+low_specaugment-300M",
+        "--do_train",
+        "--do_eval",
+        "--use_auth_token",
+        "--push_to_hub"
+    ],
+    "state": "running",
+    "program": "/home/sagrilaft/Project/audio/xls-r-et/src/run_speech_recognition_ctc_bnb.py",
+    "codePath": "src/run_speech_recognition_ctc_bnb.py",
+    "git": {
+        "remote": "https://huggingface.co/shpotes/xls-r-et",
+        "commit": "7255daaaaeeb8fe6395257a1354f3af1d7f14a6d"
+    },
+    "email": "shpotes3@gmail.com",
+    "root": "/home/sagrilaft/Project/audio/xls-r-et",
+    "host": "ganymede.eafit.edu.co",
+    "username": "sagrilaft",
+    "executable": "/home/sagrilaft/Project/audio/xls-r-et/.venv/bin/python"
+}

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'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': 72, 'eval_batch_size': 72}
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