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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: ft-wav2vec2-with-minds-asr |
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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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# ft-wav2vec2-with-minds-asr |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the PolyAI/minds14 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 14.6779 |
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- Wer: 0.9992 |
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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: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 40 |
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- training_steps: 80 |
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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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| No log | 0.2 | 20 | 18.3455 | 1.0 | |
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| 22.3132 | 0.4 | 40 | 14.6779 | 0.9992 | |
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| 12.9314 | 0.6 | 60 | 5.6604 | 1.0 | |
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| 12.9314 | 0.8 | 80 | 3.8006 | 1.0 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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