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--- |
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base_model: facebook/wav2vec2-base |
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library_name: transformers |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Cafe_model |
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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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# Cafe_model |
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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: 1.2158 |
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- Accuracy: 0.4643 |
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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 | 0.8571 | 3 | 1.3714 | 0.3095 | |
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| No log | 2.0 | 7 | 1.3197 | 0.3929 | |
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| 1.3442 | 2.8571 | 10 | 1.2993 | 0.3571 | |
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| 1.3442 | 4.0 | 14 | 1.2720 | 0.4881 | |
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| 1.3442 | 4.8571 | 17 | 1.2573 | 0.4881 | |
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| 1.2315 | 6.0 | 21 | 1.2405 | 0.4405 | |
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| 1.2315 | 6.8571 | 24 | 1.2327 | 0.4167 | |
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| 1.2315 | 8.0 | 28 | 1.2189 | 0.4762 | |
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| 1.1119 | 8.5714 | 30 | 1.2158 | 0.4643 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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