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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_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_kin_amh_basic_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: 0.0207 |
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- Spearman Corr: 0.7614 |
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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 | 1.75 | 200 | 0.0250 | 0.6539 | |
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| 0.0825 | 3.51 | 400 | 0.0215 | 0.7101 | |
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| 0.0225 | 5.26 | 600 | 0.0232 | 0.7326 | |
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| 0.0158 | 7.02 | 800 | 0.0218 | 0.7517 | |
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| 0.0126 | 8.77 | 1000 | 0.0218 | 0.7565 | |
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| 0.0104 | 10.53 | 1200 | 0.0205 | 0.7582 | |
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| 0.0088 | 12.28 | 1400 | 0.0200 | 0.7707 | |
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| 0.0074 | 14.04 | 1600 | 0.0213 | 0.7565 | |
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| 0.0074 | 15.79 | 1800 | 0.0202 | 0.7601 | |
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| 0.0065 | 17.54 | 2000 | 0.0221 | 0.7605 | |
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| 0.0059 | 19.3 | 2200 | 0.0221 | 0.7588 | |
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| 0.0055 | 21.05 | 2400 | 0.0214 | 0.7561 | |
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| 0.005 | 22.81 | 2600 | 0.0219 | 0.7574 | |
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| 0.0047 | 24.56 | 2800 | 0.0208 | 0.7606 | |
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| 0.0045 | 26.32 | 3000 | 0.0207 | 0.7614 | |
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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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