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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: mood_box |
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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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# mood_box |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5115 |
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- Accuracy: 0.3802 |
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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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| No log | 1.0 | 4 | 1.6030 | 0.2231 | |
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| No log | 2.0 | 8 | 1.5976 | 0.3223 | |
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| 1.6018 | 3.0 | 12 | 1.5936 | 0.2893 | |
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| 1.6018 | 4.0 | 16 | 1.5849 | 0.2810 | |
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| 1.5765 | 5.0 | 20 | 1.5733 | 0.3636 | |
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| 1.5765 | 6.0 | 24 | 1.5557 | 0.3884 | |
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| 1.5765 | 7.0 | 28 | 1.5360 | 0.3719 | |
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| 1.5323 | 8.0 | 32 | 1.5246 | 0.3554 | |
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| 1.5323 | 9.0 | 36 | 1.5152 | 0.3719 | |
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| 1.4909 | 10.0 | 40 | 1.5115 | 0.3802 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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