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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-xls-r-300m-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-xls-r-300m-paper |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) 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: 0.7895 |
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- Wer: 0.4398 |
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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 | 3.7157 | 1.0 | |
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| 6.2976 | 2.0 | 670 | 3.3644 | 1.0 | |
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| 3.2342 | 3.0 | 1005 | 2.4597 | 0.9739 | |
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| 3.2342 | 4.0 | 1340 | 1.4160 | 0.7444 | |
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| 1.2813 | 5.0 | 1675 | 1.1338 | 0.6543 | |
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| 0.7279 | 6.0 | 2010 | 1.0020 | 0.5856 | |
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| 0.7279 | 7.0 | 2345 | 0.8435 | 0.4823 | |
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| 0.5226 | 8.0 | 2680 | 0.8757 | 0.5078 | |
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| 0.4218 | 9.0 | 3015 | 0.7895 | 0.4398 | |
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| 0.4218 | 10.0 | 3350 | 0.7992 | 0.4228 | |
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| 0.3421 | 11.0 | 3685 | 0.8118 | 0.4307 | |
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| 0.287 | 12.0 | 4020 | 0.8215 | 0.4248 | |
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| 0.287 | 13.0 | 4355 | 0.8603 | 0.4077 | |
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| 0.2415 | 14.0 | 4690 | 0.8329 | 0.3886 | |
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| 0.2132 | 15.0 | 5025 | 0.8728 | 0.3955 | |
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| 0.2132 | 16.0 | 5360 | 0.8741 | 0.3918 | |
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| 0.1857 | 17.0 | 5695 | 0.8633 | 0.3675 | |
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| 0.1673 | 18.0 | 6030 | 0.8884 | 0.3804 | |
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| 0.1673 | 19.0 | 6365 | 0.9141 | 0.3679 | |
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| 0.1479 | 20.0 | 6700 | 0.9568 | 0.3605 | |
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| 0.1386 | 21.0 | 7035 | 0.9341 | 0.3630 | |
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| 0.1386 | 22.0 | 7370 | 0.9645 | 0.3537 | |
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| 0.1233 | 23.0 | 7705 | 0.9729 | 0.3567 | |
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| 0.1177 | 24.0 | 8040 | 1.0013 | 0.3454 | |
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| 0.1177 | 25.0 | 8375 | 1.0323 | 0.3597 | |
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| 0.1061 | 26.0 | 8710 | 1.0269 | 0.3456 | |
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| 0.1028 | 27.0 | 9045 | 1.0042 | 0.3424 | |
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| 0.1028 | 28.0 | 9380 | 1.0424 | 0.3394 | |
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| 0.0961 | 29.0 | 9715 | 1.0600 | 0.3412 | |
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| 0.0949 | 30.0 | 10050 | 1.0512 | 0.3389 | |
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| 0.0949 | 31.0 | 10385 | 1.0957 | 0.3389 | |
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| 0.0878 | 32.0 | 10720 | 1.0924 | 0.3311 | |
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| 0.0852 | 33.0 | 11055 | 1.0859 | 0.3366 | |
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| 0.0852 | 34.0 | 11390 | 1.1498 | 0.3450 | |
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| 0.0837 | 35.0 | 11725 | 1.0844 | 0.3329 | |
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| 0.0814 | 36.0 | 12060 | 1.1051 | 0.3321 | |
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| 0.0814 | 37.0 | 12395 | 1.0878 | 0.3311 | |
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| 0.0793 | 38.0 | 12730 | 1.1377 | 0.3286 | |
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| 0.0759 | 39.0 | 13065 | 1.1136 | 0.3246 | |
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| 0.0759 | 40.0 | 13400 | 1.1216 | 0.3268 | |
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| 0.0726 | 41.0 | 13735 | 1.1300 | 0.3253 | |
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| 0.0715 | 42.0 | 14070 | 1.1507 | 0.3262 | |
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| 0.0715 | 43.0 | 14405 | 1.1562 | 0.3275 | |
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| 0.0711 | 44.0 | 14740 | 1.1486 | 0.3219 | |
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| 0.0699 | 45.0 | 15075 | 1.1580 | 0.3194 | |
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| 0.0699 | 46.0 | 15410 | 1.1580 | 0.3195 | |
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| 0.0667 | 47.0 | 15745 | 1.1504 | 0.3212 | |
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| 0.0667 | 48.0 | 16080 | 1.1580 | 0.3203 | |
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| 0.0667 | 49.0 | 16415 | 1.1698 | 0.3192 | |
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| 0.0664 | 50.0 | 16750 | 1.1744 | 0.3192 | |
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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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