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update model card README.md
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README.md
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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: 0.8280
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- Accuracy: 0.7236
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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: 5e-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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| 1.775 | 0.99 | 76 | 1.7587 | 0.2633 |
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| 1.5492 | 2.0 | 153 | 1.5314 | 0.3387 |
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| 1.2647 | 2.99 | 229 | 1.1950 | 0.5184 |
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| 1.0828 | 4.0 | 306 | 1.2200 | 0.5381 |
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| 0.9776 | 4.99 | 382 | 1.0461 | 0.6200 |
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| 0.863 | 6.0 | 459 | 0.9525 | 0.6695 |
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| 0.7428 | 6.99 | 535 | 0.8484 | 0.7109 |
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| 0.7273 | 8.0 | 612 | 0.8986 | 0.6994 |
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| 0.6801 | 8.99 | 688 | 0.8280 | 0.7203 |
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| 0.6629 | 9.93 | 760 | 0.8280 | 0.7236 |
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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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