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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: results2 |
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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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# results2 |
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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: 2.4488 |
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- Wer: 0.9986 |
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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: 1000 |
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- num_epochs: 20 |
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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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| 8.1902 | 2.5 | 500 | 8.5776 | 0.9999 | |
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| 3.3623 | 5.0 | 1000 | 3.0266 | 0.9981 | |
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| 2.6484 | 7.5 | 1500 | 2.6942 | 0.9981 | |
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| 2.4592 | 10.0 | 2000 | 2.5737 | 0.9978 | |
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| 2.3747 | 12.5 | 2500 | 2.5134 | 0.9985 | |
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| 2.3306 | 15.0 | 3000 | 2.4761 | 0.9986 | |
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| 2.3032 | 17.5 | 3500 | 2.4554 | 0.9985 | |
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| 2.2926 | 20.0 | 4000 | 2.4488 | 0.9986 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.15.2 |
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