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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: team-lucid/hubert-base-korean |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: for_test25 |
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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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# for_test25 |
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This model is a fine-tuned version of [team-lucid/hubert-base-korean](https://huggingface.co/team-lucid/hubert-base-korean) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.1456 |
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- eval_PER: 0.0935 |
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- eval_runtime: 417.7255 |
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- eval_samples_per_second: 11.922 |
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- eval_steps_per_second: 0.747 |
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- learning_rate: 0.0001 |
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- epoch: 4.7281 |
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- step: 2000 |
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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: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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_steps: 400 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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