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--- |
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license: apache-2.0 |
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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: CREMA_D_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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# CREMA_D_Model |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8221 |
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- Accuracy: 0.7322 |
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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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| 1.7381 | 0.99 | 37 | 1.6700 | 0.3359 | |
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| 1.4143 | 1.99 | 74 | 1.4013 | 0.4878 | |
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| 1.1738 | 2.98 | 111 | 1.1820 | 0.6029 | |
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| 1.0229 | 4.0 | 149 | 1.0244 | 0.6532 | |
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| 0.8688 | 4.99 | 186 | 0.9101 | 0.7036 | |
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| 0.7578 | 5.99 | 223 | 0.8787 | 0.7112 | |
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| 0.705 | 6.98 | 260 | 0.8292 | 0.7229 | |
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| 0.6469 | 8.0 | 298 | 0.8509 | 0.7179 | |
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| 0.5684 | 8.99 | 335 | 0.8412 | 0.7288 | |
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| 0.5611 | 9.93 | 370 | 0.8221 | 0.7322 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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