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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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- accuracy |
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model-index: |
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- name: my_awesome_model |
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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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# my_awesome_model |
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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: 0.3905 |
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- Accuracy: 0.9158 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.7774 | 0.99 | 27 | 1.6708 | 0.4856 | |
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| 1.3665 | 1.98 | 54 | 1.1744 | 0.7739 | |
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| 0.9392 | 2.97 | 81 | 0.8476 | 0.8374 | |
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| 0.7654 | 4.0 | 109 | 0.6763 | 0.8570 | |
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| 0.5547 | 4.99 | 136 | 0.5508 | 0.8870 | |
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| 0.4244 | 5.98 | 163 | 0.4724 | 0.8985 | |
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| 0.371 | 6.97 | 190 | 0.4536 | 0.9054 | |
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| 0.3302 | 8.0 | 218 | 0.4224 | 0.9031 | |
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| 0.2883 | 8.99 | 245 | 0.3924 | 0.9146 | |
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| 0.2642 | 9.91 | 270 | 0.3905 | 0.9158 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.1 |
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