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--- |
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base_model: facebook/hubert-base-ls960 |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: hubert1 |
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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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# hubert1 |
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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: 3.5840 |
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- Wer: 1.0 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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_steps: 1000 |
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- num_epochs: 7 |
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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 | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---:| |
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| 8.3756 | 0.6821 | 500 | 5.6168 | 1.0 | |
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| 4.8753 | 1.3643 | 1000 | 3.5609 | 1.0 | |
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| 4.1974 | 2.0464 | 1500 | 3.5191 | 1.0 | |
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| 3.9847 | 2.7285 | 2000 | 3.5168 | 1.0 | |
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| 3.9535 | 3.4106 | 2500 | 3.6024 | 1.0 | |
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| 3.8797 | 4.0928 | 3000 | 3.4174 | 1.0 | |
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| 3.935 | 4.7749 | 3500 | 3.5542 | 1.0 | |
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| 3.7183 | 5.4570 | 4000 | 3.5183 | 1.0 | |
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| 3.7562 | 6.1392 | 4500 | 3.5689 | 1.0 | |
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| 3.7423 | 6.8213 | 5000 | 3.5840 | 1.0 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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