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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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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: fine_tuned_emo_classif |
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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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# fine_tuned_emo_classif |
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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: 0.9560 |
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- Accuracy: 0.6442 |
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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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| 1.597 | 0.9965 | 71 | 1.5666 | 0.3676 | |
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| 1.3149 | 1.9930 | 142 | 1.2817 | 0.5374 | |
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| 1.2092 | 2.9895 | 213 | 1.1453 | 0.5858 | |
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| 1.0891 | 4.0 | 285 | 1.0779 | 0.6073 | |
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| 1.0319 | 4.9965 | 356 | 1.0494 | 0.6205 | |
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| 0.943 | 5.9930 | 427 | 1.0233 | 0.6201 | |
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| 0.8919 | 6.9895 | 498 | 0.9688 | 0.6425 | |
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| 0.8901 | 8.0 | 570 | 0.9703 | 0.6346 | |
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| 0.8899 | 8.9965 | 641 | 0.9506 | 0.6486 | |
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| 0.8277 | 9.9649 | 710 | 0.9560 | 0.6442 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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