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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: w2v2-base-pretrained_lr1e-4_at0.9_da1 |
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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-base-pretrained_lr1e-4_at0.9_da1 |
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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: 6.9410 |
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- Wer: 1.0571 |
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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: 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: 1000 |
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- num_epochs: 60 |
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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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| 17.8057 | 6.1 | 250 | 4.5611 | 1.0 | |
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| 3.2734 | 12.2 | 500 | 3.7357 | 1.0 | |
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| 2.8657 | 18.29 | 750 | 2.7315 | 1.0 | |
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| 0.3941 | 24.39 | 1000 | 4.7924 | 1.0529 | |
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| 0.1195 | 30.49 | 1250 | 5.4586 | 1.0507 | |
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| 0.0721 | 36.59 | 1500 | 6.5058 | 1.0588 | |
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| 0.0472 | 42.68 | 1750 | 6.8300 | 1.0614 | |
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| 0.0308 | 48.78 | 2000 | 6.8007 | 1.0597 | |
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| 0.0247 | 54.88 | 2250 | 6.9410 | 1.0571 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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