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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_adjusted_2023-03-03 |
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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_adjusted_2023-03-03 |
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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: 0.8997 |
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- Accuracy: 0.7573 |
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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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| 1.7826 | 1.0 | 15 | 1.7119 | 0.3180 | |
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| 1.6174 | 2.0 | 30 | 1.5893 | 0.3808 | |
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| 1.5272 | 3.0 | 45 | 1.4628 | 0.4059 | |
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| 1.3355 | 4.0 | 60 | 1.3073 | 0.5230 | |
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| 1.2021 | 5.0 | 75 | 1.1725 | 0.5941 | |
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| 1.0797 | 6.0 | 90 | 1.0559 | 0.6904 | |
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| 0.9803 | 7.0 | 105 | 1.0222 | 0.7071 | |
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| 0.882 | 8.0 | 120 | 0.9297 | 0.7448 | |
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| 0.8505 | 9.0 | 135 | 0.8997 | 0.7573 | |
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| 0.7807 | 10.0 | 150 | 0.8801 | 0.7573 | |
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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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