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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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- f1 |
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model-index: |
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- name: wav2vec2-attempt2 |
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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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# wav2vec2-attempt2 |
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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: 0.2685 |
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- Accuracy: 0.9373 |
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- F1: 0.9372 |
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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: 0.0003 |
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- train_batch_size: 9 |
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- eval_batch_size: 9 |
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- seed: 42 |
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- gradient_accumulation_steps: 12 |
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- total_train_batch_size: 108 |
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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: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 1.0285 | 1.0 | 646 | 0.9877 | 0.7123 | 0.7029 | |
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| 0.6367 | 2.0 | 1293 | 0.5708 | 0.8314 | 0.8333 | |
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| 0.3915 | 3.0 | 1940 | 0.4389 | 0.8745 | 0.8730 | |
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| 0.2359 | 4.0 | 2587 | 0.3361 | 0.9077 | 0.9082 | |
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| 0.0987 | 5.0 | 3234 | 0.2901 | 0.9246 | 0.9248 | |
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| 0.0705 | 5.99 | 3876 | 0.2685 | 0.9373 | 0.9372 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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