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README.md
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---
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library_name: transformers
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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: bs16-lr2e-5-epoch10-seqlen10
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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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# bs16-lr2e-5-epoch10-seqlen10
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6936
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- Accuracy: 0.6167
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 1
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- seed: 1016
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10.0
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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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| 6.1254 | 1.0 | 8648 | 6.3700 | 0.0055 |
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| 4.5846 | 2.0 | 17296 | 5.1543 | 0.0521 |
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| 3.6412 | 3.0 | 25944 | 4.2039 | 0.1302 |
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| 2.6422 | 4.0 | 34592 | 3.4738 | 0.2416 |
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| 1.9601 | 5.0 | 43240 | 2.7758 | 0.3746 |
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| 1.564 | 6.0 | 51888 | 2.3559 | 0.4623 |
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| 1.2376 | 7.0 | 60536 | 2.0383 | 0.5352 |
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| 1.0652 | 8.0 | 69184 | 1.8766 | 0.5666 |
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| 0.9146 | 9.0 | 77832 | 1.7436 | 0.6059 |
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| 0.8688 | 10.0 | 86480 | 1.6936 | 0.6167 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.0.0+cu117
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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