End of training
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README.md
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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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