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--- |
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base_model: yihongLiu/furina |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: furina_seed42_eng_kin_hau_cross_5e-06 |
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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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# furina_seed42_eng_kin_hau_cross_5e-06 |
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This model is a fine-tuned version of [yihongLiu/furina](https://huggingface.co/yihongLiu/furina) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0271 |
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- Spearman Corr: 0.7253 |
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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: 5e-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 128 |
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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: 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: 30 |
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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 | Spearman Corr | |
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|:-------------:|:-----:|:----:|:---------------:|:-------------:| |
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| No log | 0.53 | 200 | 0.0620 | 0.0297 | |
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| No log | 1.06 | 400 | 0.0452 | 0.4298 | |
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| No log | 1.6 | 600 | 0.0368 | 0.5777 | |
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| 0.0775 | 2.13 | 800 | 0.0330 | 0.6272 | |
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| 0.0775 | 2.66 | 1000 | 0.0368 | 0.6536 | |
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| 0.0775 | 3.19 | 1200 | 0.0303 | 0.6597 | |
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| 0.0775 | 3.72 | 1400 | 0.0300 | 0.6759 | |
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| 0.0336 | 4.26 | 1600 | 0.0282 | 0.6848 | |
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| 0.0336 | 4.79 | 1800 | 0.0277 | 0.6941 | |
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| 0.0336 | 5.32 | 2000 | 0.0269 | 0.7028 | |
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| 0.0336 | 5.85 | 2200 | 0.0283 | 0.7096 | |
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| 0.0286 | 6.38 | 2400 | 0.0271 | 0.7074 | |
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| 0.0286 | 6.91 | 2600 | 0.0271 | 0.7052 | |
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| 0.0286 | 7.45 | 2800 | 0.0276 | 0.7198 | |
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| 0.0286 | 7.98 | 3000 | 0.0270 | 0.7159 | |
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| 0.0252 | 8.51 | 3200 | 0.0277 | 0.7255 | |
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| 0.0252 | 9.04 | 3400 | 0.0268 | 0.7229 | |
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| 0.0252 | 9.57 | 3600 | 0.0271 | 0.7253 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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