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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_lr5e-5_at0.8_da0.05 |
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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_lr5e-5_at0.8_da0.05 |
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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: 3.9827 |
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- Wer: 1.0295 |
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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: 5e-05 |
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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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- training_steps: 4000 |
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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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| 43.0808 | 83.33 | 250 | 28.8440 | 1.0 | |
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| 8.5391 | 166.67 | 500 | 3.7744 | 1.0 | |
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| 3.2564 | 250.0 | 750 | 3.1400 | 1.0 | |
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| 3.0586 | 333.33 | 1000 | 3.1144 | 1.0 | |
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| 2.9982 | 416.67 | 1250 | 3.0792 | 1.0 | |
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| 2.927 | 500.0 | 1500 | 3.0777 | 1.0 | |
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| 2.7925 | 583.33 | 1750 | 3.0732 | 1.0 | |
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| 2.577 | 666.67 | 2000 | 3.0084 | 1.0 | |
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| 2.2523 | 750.0 | 2250 | 2.9828 | 1.0 | |
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| 1.8719 | 833.33 | 2500 | 3.1056 | 1.0026 | |
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| 1.5177 | 916.67 | 2750 | 3.3320 | 1.0154 | |
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| 1.233 | 1000.0 | 3000 | 3.5057 | 1.0184 | |
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| 1.0527 | 1083.33 | 3250 | 3.7065 | 1.0325 | |
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| 0.9262 | 1166.67 | 3500 | 3.8646 | 1.0316 | |
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| 0.8456 | 1250.0 | 3750 | 3.9958 | 1.0295 | |
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| 0.8247 | 1333.33 | 4000 | 3.9827 | 1.0295 | |
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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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