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--- |
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library_name: transformers |
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license: cc-by-nc-sa-4.0 |
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base_model: amiriparian/ExHuBERT |
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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: ExHubert-fine-tuned |
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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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# ExHubert-fine-tuned |
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This model is a fine-tuned version of [amiriparian/ExHuBERT](https://huggingface.co/amiriparian/ExHuBERT) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4376 |
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- Accuracy: 0.8392 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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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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| 0.7396 | 1.0 | 64 | 0.7444 | 0.6118 | |
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| 0.6937 | 2.0 | 128 | 0.5704 | 0.7647 | |
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| 0.4416 | 3.0 | 192 | 0.4876 | 0.8039 | |
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| 0.5393 | 4.0 | 256 | 0.4376 | 0.8392 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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