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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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model-index: |
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- name: wav2vec2_test |
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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_test |
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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: 91.1661 |
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- Wer: 0.5714 |
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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: 8 |
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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: 100 |
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- num_epochs: 1000 |
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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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| 11.9459 | 100.0 | 100 | 46.9901 | 1.0 | |
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| 3.2175 | 200.0 | 200 | 73.0950 | 1.0 | |
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| 1.8117 | 300.0 | 300 | 78.4884 | 0.6735 | |
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| 1.3694 | 400.0 | 400 | 84.0168 | 0.6327 | |
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| 1.1392 | 500.0 | 500 | 85.2083 | 0.5918 | |
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| 0.979 | 600.0 | 600 | 88.9109 | 0.5918 | |
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| 0.8917 | 700.0 | 700 | 89.0310 | 0.5918 | |
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| 0.8265 | 800.0 | 800 | 90.0659 | 0.6122 | |
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| 0.769 | 900.0 | 900 | 91.8476 | 0.5714 | |
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| 0.7389 | 1000.0 | 1000 | 91.1661 | 0.5714 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.2 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.6 |
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