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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_esp_kin_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_esp_kin_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: 0.0243 |
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- Spearman Corr: 0.6941 |
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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 | 0.54 | 200 | 0.0533 | 0.0572 | |
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| No log | 1.09 | 400 | 0.0304 | 0.5257 | |
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| No log | 1.63 | 600 | 0.0287 | 0.5941 | |
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| 0.0719 | 2.18 | 800 | 0.0259 | 0.6188 | |
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| 0.0719 | 2.72 | 1000 | 0.0271 | 0.6295 | |
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| 0.0719 | 3.27 | 1200 | 0.0260 | 0.6321 | |
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| 0.0719 | 3.81 | 1400 | 0.0273 | 0.6451 | |
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| 0.0277 | 4.35 | 1600 | 0.0252 | 0.6539 | |
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| 0.0277 | 4.9 | 1800 | 0.0244 | 0.6544 | |
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| 0.0277 | 5.44 | 2000 | 0.0242 | 0.6640 | |
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| 0.0277 | 5.99 | 2200 | 0.0241 | 0.6676 | |
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| 0.0239 | 6.53 | 2400 | 0.0235 | 0.6710 | |
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| 0.0239 | 7.07 | 2600 | 0.0240 | 0.6761 | |
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| 0.0239 | 7.62 | 2800 | 0.0246 | 0.6809 | |
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| 0.0211 | 8.16 | 3000 | 0.0240 | 0.6802 | |
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| 0.0211 | 8.71 | 3200 | 0.0242 | 0.6862 | |
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| 0.0211 | 9.25 | 3400 | 0.0245 | 0.6863 | |
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| 0.0211 | 9.8 | 3600 | 0.0234 | 0.6897 | |
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| 0.019 | 10.34 | 3800 | 0.0235 | 0.6906 | |
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| 0.019 | 10.88 | 4000 | 0.0243 | 0.6941 | |
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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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