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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: Mlukebasewithpaperparameter_v2 |
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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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# Mlukebasewithpaperparameter_v2 |
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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: 0.1553 |
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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: 12 |
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- eval_batch_size: 24 |
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- seed: 42 |
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- gradient_accumulation_steps: 5 |
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- total_train_batch_size: 60 |
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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_ratio: 0.005 |
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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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| 0.5072 | 0.9928 | 55 | 0.4228 | |
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| 0.3222 | 1.9856 | 110 | 0.2984 | |
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| 0.286 | 2.9964 | 166 | 0.2462 | |
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| 0.2 | 3.9892 | 221 | 0.2388 | |
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| 0.1843 | 5.0 | 277 | 0.2082 | |
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| 0.1663 | 5.9928 | 332 | 0.1859 | |
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| 0.192 | 6.9856 | 387 | 0.1746 | |
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| 0.1492 | 7.9964 | 443 | 0.1650 | |
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| 0.1338 | 8.9892 | 498 | 0.1594 | |
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| 0.1237 | 9.9278 | 550 | 0.1553 | |
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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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