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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: test-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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# test-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: 0.2280 |
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- Accuracy: 0.9399 |
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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: 4e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 600 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 1.0215 | 0.9639 | 60 | 0.8933 | 0.5734 | |
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| 0.7629 | 1.9277 | 120 | 0.6155 | 0.7565 | |
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| 0.664 | 2.8916 | 180 | 0.5293 | 0.7827 | |
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| 0.4882 | 3.8554 | 240 | 0.3675 | 0.8893 | |
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| 0.3573 | 4.8193 | 300 | 0.3523 | 0.8974 | |
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| 0.3088 | 5.7831 | 360 | 0.3125 | 0.9034 | |
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| 0.2715 | 6.7470 | 420 | 0.2085 | 0.9477 | |
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| 0.2154 | 7.7108 | 480 | 0.2546 | 0.9336 | |
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| 0.2016 | 8.6747 | 540 | 0.1955 | 0.9517 | |
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| 0.193 | 9.6386 | 600 | 0.1969 | 0.9457 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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