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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_amh_basic_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_amh_basic_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: 0.0229 |
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- Spearman Corr: 0.7406 |
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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 | 1.75 | 200 | 0.0718 | 0.0554 | |
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| 0.1419 | 3.51 | 400 | 0.0366 | 0.4543 | |
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| 0.0605 | 5.26 | 600 | 0.0293 | 0.6111 | |
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| 0.0327 | 7.02 | 800 | 0.0270 | 0.6638 | |
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| 0.0263 | 8.77 | 1000 | 0.0265 | 0.6874 | |
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| 0.0228 | 10.53 | 1200 | 0.0254 | 0.6896 | |
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| 0.0204 | 12.28 | 1400 | 0.0240 | 0.7026 | |
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| 0.0188 | 14.04 | 1600 | 0.0228 | 0.7227 | |
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| 0.0188 | 15.79 | 1800 | 0.0248 | 0.7165 | |
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| 0.0176 | 17.54 | 2000 | 0.0249 | 0.7234 | |
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| 0.0169 | 19.3 | 2200 | 0.0231 | 0.7327 | |
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| 0.0163 | 21.05 | 2400 | 0.0228 | 0.7329 | |
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| 0.0153 | 22.81 | 2600 | 0.0227 | 0.7384 | |
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| 0.0146 | 24.56 | 2800 | 0.0227 | 0.7387 | |
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| 0.0144 | 26.32 | 3000 | 0.0233 | 0.7432 | |
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| 0.0139 | 28.07 | 3200 | 0.0229 | 0.7406 | |
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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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