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wav2vec2-large-voxrex-npsc

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
NbAiLab/NPSC
Generated from Trainer
robust-speech-event
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update model card README.md

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  2. wandb/run-20220201_213057-2vounkdu/files/output.log +11 -0
  3. wandb/run-20220201_213057-2vounkdu/logs/debug-internal.log +14 -0
  4. wandb/run-20220201_213057-2vounkdu/run-2vounkdu.wandb +2 -2
README.md CHANGED
@@ -1,3 +1,106 @@
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc0-1.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: wav2vec2-large-voxrex-npsc
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # wav2vec2-large-voxrex-npsc
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+
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+ This model is a fine-tuned version of [KBLab/wav2vec2-large-voxrex](https://huggingface.co/KBLab/wav2vec2-large-voxrex) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: nan
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+ - Wer: 1.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 2000
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+ - num_epochs: 15.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 2.9728 | 0.32 | 500 | 2.9449 | 1.0 |
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+ | 2.5099 | 0.64 | 1000 | 1.8492 | 0.9910 |
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+ | 0.7872 | 0.97 | 1500 | 0.4467 | 0.3774 |
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+ | 0.5993 | 1.29 | 2000 | 0.3181 | 0.2819 |
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+ | 0.5134 | 1.61 | 2500 | 0.2638 | 0.2401 |
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+ | 0.4544 | 1.93 | 3000 | 0.2287 | 0.2091 |
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+ | 0.4085 | 2.26 | 3500 | 0.2153 | 0.1918 |
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+ | 0.3921 | 2.58 | 4000 | 0.2004 | 0.1804 |
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+ | 0.4613 | 2.9 | 4500 | 0.1905 | 0.1732 |
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+ | 0.3402 | 3.22 | 5000 | 0.1778 | 0.1659 |
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+ | 0.3258 | 3.55 | 5500 | 0.1732 | 0.1571 |
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+ | 0.3044 | 3.87 | 6000 | 0.1677 | 0.1497 |
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+ | 0.2914 | 4.19 | 6500 | 0.1597 | 0.1420 |
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+ | 0.278 | 4.51 | 7000 | 0.1574 | 0.1386 |
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+ | 0.2858 | 4.84 | 7500 | 0.1552 | 0.1300 |
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+ | 0.2585 | 5.16 | 8000 | 0.1523 | 0.1276 |
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+ | 0.2827 | 5.48 | 8500 | 0.1448 | 0.1265 |
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+ | 0.3365 | 5.8 | 9000 | 0.1411 | 0.1232 |
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+ | 0.2488 | 6.13 | 9500 | 0.1456 | 0.1195 |
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+ | 0.2406 | 6.45 | 10000 | 0.1414 | 0.1194 |
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+ | 0.2488 | 6.77 | 10500 | 0.1393 | 0.1173 |
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+ | 0.3084 | 7.09 | 11000 | 0.1379 | 0.1164 |
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+ | 0.2365 | 7.41 | 11500 | 0.1387 | 0.1165 |
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+ | 0.2217 | 7.74 | 12000 | 0.1381 | 0.1132 |
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+ | 0.2381 | 8.06 | 12500 | 0.1360 | 0.1126 |
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+ | 0.2329 | 8.38 | 13000 | 0.1357 | 0.1124 |
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+ | 0.2103 | 8.7 | 13500 | 0.1335 | 0.1087 |
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+ | 0.2366 | 9.03 | 14000 | 0.1388 | 0.1105 |
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+ | 0.2289 | 9.35 | 14500 | 0.1383 | 0.1098 |
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+ | 0.2486 | 9.67 | 15000 | 0.1386 | 0.1087 |
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+ | 0.2772 | 9.99 | 15500 | 0.1598 | 0.1093 |
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+ | 0.2728 | 10.32 | 16000 | 0.1814 | 0.1110 |
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+ | 0.3437 | 10.64 | 16500 | 0.2505 | 0.1124 |
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+ | 0.431 | 10.96 | 17000 | 0.2828 | 0.1143 |
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+ | 0.3929 | 11.28 | 17500 | 0.2977 | 0.1149 |
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+ | 0.4396 | 11.61 | 18000 | 0.3198 | 0.1170 |
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+ | 0.59 | 11.93 | 18500 | 0.4158 | 0.1315 |
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+ | 0.7813 | 12.25 | 19000 | 0.6123 | 0.2208 |
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+ | 0.9345 | 12.57 | 19500 | 0.6815 | 0.2885 |
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+ | 0.998 | 12.89 | 20000 | 0.7587 | 0.1991 |
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+ | 1.0493 | 13.22 | 20500 | 0.7583 | 0.1996 |
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+ | 1.438 | 13.54 | 21000 | nan | 1.0 |
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+ | 0.0 | 13.86 | 21500 | nan | 1.0 |
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+ | 0.0 | 14.18 | 22000 | nan | 1.0 |
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+ | 0.0 | 14.51 | 22500 | nan | 1.0 |
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+ | 0.0 | 14.83 | 23000 | nan | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0.dev0
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+ - Pytorch 1.10.2+cu113
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+ - Datasets 1.18.3.dev0
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+ - Tokenizers 0.11.0
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+ 02/02/2022 18:07:42 - WARNING - huggingface_hub.repository - To https://huggingface.co/NbAiLab/wav2vec2-large-voxrex-npsc
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