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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base-960h |
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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: finetune_wav2vec2_960h_six |
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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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# finetune_wav2vec2_960h_six |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7147 |
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- Wer: 31.6162 |
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- Cer: 15.8883 |
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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: 4500 |
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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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| 0.9942 | 18.5185 | 1000 | 0.7147 | 31.6162 | 15.8883 | |
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| 0.5163 | 37.0370 | 2000 | 0.7961 | 31.2892 | 15.4668 | |
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| 0.3093 | 55.5556 | 3000 | 0.9768 | 30.9894 | 15.2757 | |
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| 0.2142 | 74.0741 | 4000 | 1.0128 | 29.0270 | 14.6912 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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