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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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tags: |
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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_tun_1.0 |
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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_tun_1.0 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3582 |
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- Wer: 0.2211 |
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- Cer: 0.0770 |
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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: 0.0001 |
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- train_batch_size: 16 |
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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: 500 |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:| |
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| 5.9699 | 3.7234 | 700 | 2.8579 | 1.0 | 0.9915 | |
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| 1.5582 | 7.4468 | 1400 | 0.4742 | 0.3345 | 0.1187 | |
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| 0.5216 | 11.1702 | 2100 | 0.3712 | 0.2768 | 0.0975 | |
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| 0.3359 | 14.8936 | 2800 | 0.3522 | 0.2484 | 0.0867 | |
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| 0.2514 | 18.6170 | 3500 | 0.3611 | 0.2403 | 0.0833 | |
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| 0.217 | 22.3404 | 4200 | 0.3557 | 0.2266 | 0.0787 | |
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| 0.1873 | 26.0638 | 4900 | 0.3569 | 0.2245 | 0.0786 | |
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| 0.183 | 29.7872 | 5600 | 0.3582 | 0.2211 | 0.0770 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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