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--- |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- hts98/original_ver1.2 |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-robust-paper |
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results: [] |
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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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# wav2vec2-large-robust-paper |
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This model is a fine-tuned version of [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) on the HTS98/ORIGINAL_VER1.2 - NA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8696 |
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- Wer: 0.4572 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 420 |
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- num_epochs: 50.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| No log | 1.0 | 335 | 3.9163 | 1.0 | |
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| 7.1369 | 2.0 | 670 | 3.3422 | 1.0 | |
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| 3.3448 | 3.0 | 1005 | 3.3355 | 1.0 | |
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| 3.3448 | 4.0 | 1340 | 3.3263 | 1.0 | |
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| 3.3277 | 5.0 | 1675 | 2.8928 | 1.0079 | |
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| 2.6655 | 6.0 | 2010 | 1.7822 | 0.8788 | |
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| 2.6655 | 7.0 | 2345 | 1.3193 | 0.7055 | |
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| 1.4617 | 8.0 | 2680 | 1.1408 | 0.6070 | |
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| 1.0805 | 9.0 | 3015 | 1.0108 | 0.5422 | |
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| 1.0805 | 10.0 | 3350 | 0.9517 | 0.5154 | |
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| 0.8759 | 11.0 | 3685 | 0.9082 | 0.4902 | |
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| 0.7462 | 12.0 | 4020 | 0.8758 | 0.4706 | |
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| 0.7462 | 13.0 | 4355 | 0.8696 | 0.4572 | |
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| 0.6429 | 14.0 | 4690 | 0.8731 | 0.4535 | |
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| 0.5672 | 15.0 | 5025 | 0.8749 | 0.4508 | |
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| 0.5672 | 16.0 | 5360 | 0.8753 | 0.4512 | |
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| 0.4959 | 17.0 | 5695 | 0.9039 | 0.4487 | |
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| 0.4456 | 18.0 | 6030 | 0.9161 | 0.4433 | |
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| 0.4456 | 19.0 | 6365 | 0.9506 | 0.4430 | |
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| 0.392 | 20.0 | 6700 | 0.9412 | 0.4439 | |
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| 0.3594 | 21.0 | 7035 | 0.9884 | 0.4416 | |
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| 0.3594 | 22.0 | 7370 | 1.0222 | 0.4510 | |
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| 0.3175 | 23.0 | 7705 | 1.0345 | 0.4439 | |
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| 0.2947 | 24.0 | 8040 | 1.0849 | 0.4465 | |
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| 0.2947 | 25.0 | 8375 | 1.0879 | 0.4472 | |
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| 0.2674 | 26.0 | 8710 | 1.1071 | 0.4512 | |
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| 0.2521 | 27.0 | 9045 | 1.1147 | 0.4494 | |
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| 0.2521 | 28.0 | 9380 | 1.1426 | 0.4525 | |
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| 0.2321 | 29.0 | 9715 | 1.1592 | 0.4440 | |
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| 0.2235 | 30.0 | 10050 | 1.1782 | 0.4450 | |
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| 0.2235 | 31.0 | 10385 | 1.2050 | 0.4437 | |
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| 0.2071 | 32.0 | 10720 | 1.2224 | 0.4400 | |
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| 0.1951 | 33.0 | 11055 | 1.2270 | 0.4471 | |
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| 0.1951 | 34.0 | 11390 | 1.2466 | 0.4483 | |
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| 0.1892 | 35.0 | 11725 | 1.2325 | 0.4429 | |
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| 0.1809 | 36.0 | 12060 | 1.2755 | 0.4427 | |
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| 0.1809 | 37.0 | 12395 | 1.2675 | 0.4422 | |
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| 0.1746 | 38.0 | 12730 | 1.3022 | 0.4418 | |
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| 0.1656 | 39.0 | 13065 | 1.3179 | 0.4408 | |
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| 0.1656 | 40.0 | 13400 | 1.2934 | 0.4425 | |
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| 0.1614 | 41.0 | 13735 | 1.3304 | 0.4426 | |
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| 0.1564 | 42.0 | 14070 | 1.3148 | 0.4420 | |
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| 0.1564 | 43.0 | 14405 | 1.3267 | 0.4433 | |
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| 0.1546 | 44.0 | 14740 | 1.3331 | 0.4413 | |
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| 0.1515 | 45.0 | 15075 | 1.3445 | 0.4388 | |
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| 0.1515 | 46.0 | 15410 | 1.3530 | 0.4372 | |
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| 0.147 | 47.0 | 15745 | 1.3443 | 0.4385 | |
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| 0.1447 | 48.0 | 16080 | 1.3503 | 0.4369 | |
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| 0.1447 | 49.0 | 16415 | 1.3590 | 0.4393 | |
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| 0.1437 | 50.0 | 16750 | 1.3668 | 0.4372 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.7.0 |
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- Tokenizers 0.13.2 |
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