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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 |
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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 |
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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: 1.4145 |
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- Wer: 0.4598 |
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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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- num_epochs: 50 |
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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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| 4.245 | 9.26 | 500 | 2.9303 | 0.9871 | |
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| 2.5133 | 18.52 | 1000 | 1.3210 | 0.6705 | |
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| 0.6779 | 27.78 | 1500 | 1.2663 | 0.4949 | |
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| 0.3209 | 37.04 | 2000 | 1.3584 | 0.4872 | |
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| 0.19 | 46.3 | 2500 | 1.4145 | 0.4598 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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