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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large-xlsr-53 |
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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: emotions_xls53_6_classes |
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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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# emotions_xls53_6_classes |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8000 |
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- Accuracy: 0.7678 |
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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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| 0.6892 | 0.99 | 76 | 0.8018 | 0.7346 | |
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| 0.6611 | 2.0 | 153 | 0.7451 | 0.7482 | |
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| 0.6012 | 2.99 | 229 | 0.6767 | 0.7731 | |
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| 0.4795 | 4.0 | 306 | 0.8686 | 0.7408 | |
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| 0.5143 | 4.99 | 382 | 0.7684 | 0.7629 | |
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| 0.4878 | 6.0 | 459 | 0.7513 | 0.7744 | |
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| 0.4619 | 6.99 | 535 | 0.8314 | 0.7596 | |
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| 0.458 | 8.0 | 612 | 0.7943 | 0.7670 | |
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| 0.4383 | 8.99 | 688 | 0.8460 | 0.7596 | |
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| 0.5196 | 9.93 | 760 | 0.8000 | 0.7678 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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