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--- |
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license: apache-2.0 |
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base_model: studio-ousia/mluke-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: exp_acha_mluke_base_origi |
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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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# exp_acha_mluke_base_origi |
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This model is a fine-tuned version of [studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1405 |
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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: 16 |
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- eval_batch_size: 32 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.314 | 1.0 | 208 | 0.3363 | |
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| 0.2712 | 2.0 | 416 | 0.2008 | |
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| 0.1676 | 3.0 | 624 | 0.1689 | |
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| 0.118 | 4.0 | 832 | 0.1944 | |
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| 0.103 | 5.0 | 1040 | 0.1970 | |
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| 0.1465 | 6.0 | 1248 | 0.1481 | |
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| 0.0821 | 7.0 | 1456 | 0.1487 | |
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| 0.0515 | 8.0 | 1664 | 0.1439 | |
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| 0.0303 | 9.0 | 1872 | 0.1463 | |
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| 0.1295 | 10.0 | 2080 | 0.1405 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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