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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: ser_model_fixed_label |
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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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# ser_model_fixed_label |
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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: 0.7010 |
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- Accuracy: 0.8367 |
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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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| 1.7645 | 0.96 | 18 | 1.5899 | 0.4333 | |
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| 1.5148 | 1.96 | 36 | 1.4152 | 0.4433 | |
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| 1.3042 | 2.96 | 54 | 1.1857 | 0.5767 | |
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| 1.1184 | 3.96 | 72 | 1.0508 | 0.62 | |
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| 0.9588 | 4.96 | 90 | 0.9329 | 0.7 | |
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| 0.9789 | 5.96 | 108 | 0.8638 | 0.74 | |
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| 0.7835 | 6.96 | 126 | 0.7730 | 0.8133 | |
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| 0.7259 | 7.96 | 144 | 0.7355 | 0.83 | |
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| 0.6783 | 8.96 | 162 | 0.7190 | 0.8333 | |
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| 0.6644 | 9.96 | 180 | 0.7010 | 0.8367 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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