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--- |
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license: apache-2.0 |
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base_model: facebook/hubert-base-ls960 |
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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: ckpts |
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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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# ckpts |
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2980 |
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- Accuracy: 0.9545 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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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- num_epochs: 15.0 |
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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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| 1.1628 | 1.0 | 223 | 0.7126 | 0.7727 | |
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| 0.6562 | 2.0 | 446 | 0.5069 | 0.8485 | |
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| 0.4199 | 3.0 | 669 | 0.3570 | 0.8990 | |
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| 0.325 | 4.0 | 892 | 0.2092 | 0.9394 | |
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| 0.2217 | 5.0 | 1115 | 0.2392 | 0.9444 | |
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| 0.1831 | 6.0 | 1338 | 0.2754 | 0.9293 | |
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| 0.1598 | 7.0 | 1561 | 0.3294 | 0.9343 | |
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| 0.1676 | 8.0 | 1784 | 0.2669 | 0.9495 | |
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| 0.1597 | 9.0 | 2007 | 0.3438 | 0.9293 | |
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| 0.1132 | 10.0 | 2230 | 0.3159 | 0.9444 | |
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| 0.1224 | 11.0 | 2453 | 0.2980 | 0.9545 | |
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| 0.095 | 12.0 | 2676 | 0.2970 | 0.9444 | |
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| 0.1087 | 13.0 | 2899 | 0.3449 | 0.9343 | |
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| 0.1254 | 14.0 | 3122 | 0.3198 | 0.9444 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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