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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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base_model: facebook/wav2vec2-base |
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metrics: |
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- wer |
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model-index: |
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- name: w2v2-libri-10min |
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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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# w2v2-libri-10min |
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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: 1.9408 |
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- Wer: 0.5837 |
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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: 0.0003 |
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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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- training_steps: 2500 |
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- mixed_precision_training: Native AMP |
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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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| 4.8824 | 62.5 | 250 | 2.9255 | 1.0 | |
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| 0.7061 | 125.0 | 500 | 1.5759 | 0.6321 | |
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| 0.066 | 187.5 | 750 | 1.7474 | 0.6183 | |
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| 0.0326 | 250.0 | 1000 | 1.7446 | 0.6224 | |
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| 0.0205 | 312.5 | 1250 | 1.8737 | 0.6252 | |
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| 0.0445 | 375.0 | 1500 | 1.9835 | 0.6210 | |
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| 0.0084 | 437.5 | 1750 | 1.8829 | 0.6141 | |
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| 0.0068 | 500.0 | 2000 | 1.9136 | 0.6058 | |
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| 0.0037 | 562.5 | 2250 | 1.8990 | 0.5864 | |
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| 0.003 | 625.0 | 2500 | 1.9408 | 0.5837 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 1.18.1 |
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- Tokenizers 0.19.1 |
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