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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_esp_basic |
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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_esp_basic |
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This model is a fine-tuned version of [yihongLiu/furina](https://huggingface.co/yihongLiu/furina) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0215 |
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- Spearman Corr: 0.7964 |
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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 | 1.76 | 200 | 0.0220 | 0.7121 | |
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| 0.0794 | 3.52 | 400 | 0.0219 | 0.7836 | |
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| 0.0236 | 5.29 | 600 | 0.0310 | 0.7932 | |
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| 0.0176 | 7.05 | 800 | 0.0201 | 0.7950 | |
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| 0.0136 | 8.81 | 1000 | 0.0218 | 0.7973 | |
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| 0.0113 | 10.57 | 1200 | 0.0211 | 0.7975 | |
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| 0.0097 | 12.33 | 1400 | 0.0238 | 0.7996 | |
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| 0.008 | 14.1 | 1600 | 0.0228 | 0.8032 | |
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| 0.008 | 15.86 | 1800 | 0.0239 | 0.8028 | |
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| 0.0071 | 17.62 | 2000 | 0.0232 | 0.8007 | |
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| 0.0063 | 19.38 | 2200 | 0.0224 | 0.7948 | |
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| 0.0058 | 21.15 | 2400 | 0.0215 | 0.7964 | |
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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 0.15.1 |
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