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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: ft_wav2vec2_base_six_1000 |
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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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# ft_wav2vec2_base_six_1000 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4818 |
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- Wer: 40.2628 |
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- Cer: 18.6678 |
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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: 32 |
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- eval_batch_size: 16 |
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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: 2000 |
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- training_steps: 5000 |
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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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| 3.2787 | 22.73 | 1000 | 1.1585 | 59.3958 | 25.8494 | |
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| 0.4164 | 45.45 | 2000 | 1.2611 | 44.7175 | 20.5846 | |
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| 0.144 | 68.18 | 3000 | 1.3470 | 42.6865 | 19.8831 | |
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| 0.0774 | 90.91 | 4000 | 1.4210 | 41.7307 | 19.1922 | |
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| 0.05 | 113.64 | 5000 | 1.4818 | 40.2628 | 18.6678 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.4.0 |
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- Tokenizers 0.15.2 |
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