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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-large-960h-lv60-self-intent-classification-ori
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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-960h-lv60-self-intent-classification-ori
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This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1985
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- Accuracy: 0.5417
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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: 3e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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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_ratio: 0.1
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- num_epochs: 45
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.2033 | 1.0 | 14 | 2.2126 | 0.0833 |
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| 2.2006 | 2.0 | 28 | 2.2026 | 0.0833 |
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| 2.1786 | 3.0 | 42 | 2.1758 | 0.3333 |
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| 2.1712 | 4.0 | 56 | 2.1436 | 0.3333 |
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| 2.1495 | 5.0 | 70 | 2.1120 | 0.3333 |
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| 2.1326 | 6.0 | 84 | 2.0909 | 0.3333 |
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| 2.1039 | 7.0 | 98 | 2.0966 | 0.3333 |
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| 2.0931 | 8.0 | 112 | 2.0355 | 0.3333 |
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| 2.1144 | 9.0 | 126 | 2.0082 | 0.3333 |
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| 2.0258 | 10.0 | 140 | 1.9901 | 0.375 |
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| 2.0028 | 11.0 | 154 | 1.9429 | 0.3958 |
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| 1.9737 | 12.0 | 168 | 1.9538 | 0.3958 |
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| 1.9023 | 13.0 | 182 | 1.8824 | 0.375 |
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| 1.9226 | 14.0 | 196 | 1.8607 | 0.3958 |
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| 1.8521 | 15.0 | 210 | 1.8065 | 0.3958 |
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| 1.7752 | 16.0 | 224 | 1.8153 | 0.4167 |
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| 1.8391 | 17.0 | 238 | 1.7470 | 0.4375 |
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| 1.7041 | 18.0 | 252 | 1.7419 | 0.4167 |
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| 1.7075 | 19.0 | 266 | 1.6644 | 0.4375 |
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| 1.6845 | 20.0 | 280 | 1.6340 | 0.4375 |
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| 1.6275 | 21.0 | 294 | 1.6271 | 0.4167 |
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| 1.4586 | 22.0 | 308 | 1.5640 | 0.4375 |
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| 1.4987 | 23.0 | 322 | 1.5279 | 0.4583 |
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| 1.5513 | 24.0 | 336 | 1.4873 | 0.4792 |
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| 1.4828 | 25.0 | 350 | 1.4887 | 0.4583 |
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| 1.4711 | 26.0 | 364 | 1.4613 | 0.4583 |
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| 1.371 | 27.0 | 378 | 1.4062 | 0.4792 |
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| 1.3789 | 28.0 | 392 | 1.4038 | 0.4792 |
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| 1.3579 | 29.0 | 406 | 1.4031 | 0.4792 |
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| 1.2771 | 30.0 | 420 | 1.3637 | 0.5 |
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| 1.3417 | 31.0 | 434 | 1.3655 | 0.5 |
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| 1.231 | 32.0 | 448 | 1.3698 | 0.5 |
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| 1.2367 | 33.0 | 462 | 1.3394 | 0.5 |
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| 1.2933 | 34.0 | 476 | 1.3448 | 0.4792 |
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| 1.1631 | 35.0 | 490 | 1.2867 | 0.5417 |
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| 1.165 | 36.0 | 504 | 1.2624 | 0.5417 |
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| 1.2431 | 37.0 | 518 | 1.2252 | 0.5625 |
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| 1.1731 | 38.0 | 532 | 1.2082 | 0.5625 |
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| 1.1734 | 39.0 | 546 | 1.2062 | 0.5417 |
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| 1.1631 | 40.0 | 560 | 1.2034 | 0.5417 |
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| 1.0963 | 41.0 | 574 | 1.1973 | 0.5417 |
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| 1.2157 | 42.0 | 588 | 1.1988 | 0.5625 |
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| 1.1467 | 43.0 | 602 | 1.2018 | 0.5417 |
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| 1.1503 | 44.0 | 616 | 1.1986 | 0.5417 |
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| 1.0945 | 45.0 | 630 | 1.1985 | 0.5417 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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