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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_amh_hau_cross_latin_2e-05 |
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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_amh_hau_cross_latin_2e-05 |
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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: 0.0213 |
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- Spearman Corr: 0.7832 |
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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: 2e-05 |
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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 | 0.52 | 200 | 0.0297 | 0.6717 | |
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| No log | 1.04 | 400 | 0.0242 | 0.7298 | |
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| No log | 1.55 | 600 | 0.0238 | 0.7583 | |
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| 0.0472 | 2.07 | 800 | 0.0234 | 0.7528 | |
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| 0.0472 | 2.59 | 1000 | 0.0233 | 0.7682 | |
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| 0.0472 | 3.11 | 1200 | 0.0210 | 0.7792 | |
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| 0.0472 | 3.63 | 1400 | 0.0206 | 0.7805 | |
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| 0.0222 | 4.15 | 1600 | 0.0211 | 0.7751 | |
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| 0.0222 | 4.66 | 1800 | 0.0213 | 0.7796 | |
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| 0.0222 | 5.18 | 2000 | 0.0207 | 0.7920 | |
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| 0.0222 | 5.7 | 2200 | 0.0196 | 0.7933 | |
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| 0.0157 | 6.22 | 2400 | 0.0204 | 0.7839 | |
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| 0.0157 | 6.74 | 2600 | 0.0204 | 0.7848 | |
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| 0.0157 | 7.25 | 2800 | 0.0216 | 0.7791 | |
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| 0.0157 | 7.77 | 3000 | 0.0218 | 0.7844 | |
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| 0.0116 | 8.29 | 3200 | 0.0214 | 0.7887 | |
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| 0.0116 | 8.81 | 3400 | 0.0209 | 0.7908 | |
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| 0.0116 | 9.33 | 3600 | 0.0208 | 0.7768 | |
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| 0.0116 | 9.84 | 3800 | 0.0213 | 0.7832 | |
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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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