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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9852 |
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- Accuracy: 0.9663 |
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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: 16 |
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- eval_batch_size: 16 |
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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: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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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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| No log | 0.9771 | 32 | 2.6002 | 0.3131 | |
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| No log | 1.9847 | 65 | 2.2128 | 0.3973 | |
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| No log | 2.9924 | 98 | 1.8853 | 0.4949 | |
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| 2.4861 | 4.0 | 131 | 1.5879 | 0.6162 | |
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| 2.4861 | 4.9771 | 163 | 1.3575 | 0.7037 | |
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| 2.4861 | 5.9847 | 196 | 1.2166 | 0.8182 | |
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| 1.7056 | 6.9924 | 229 | 1.0793 | 0.8923 | |
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| 1.7056 | 8.0 | 262 | 0.9852 | 0.9663 | |
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| 1.7056 | 8.9771 | 294 | 0.9393 | 0.9562 | |
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| 1.276 | 9.7710 | 320 | 0.9227 | 0.9495 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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