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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_roman |
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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_roman |
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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: 0.0233 |
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- Spearman Corr: 0.7621 |
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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 | 0.58 | 200 | 0.0306 | 0.6454 | |
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| No log | 1.15 | 400 | 0.0353 | 0.6854 | |
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| No log | 1.73 | 600 | 0.0298 | 0.7055 | |
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| 0.0458 | 2.3 | 800 | 0.0307 | 0.7105 | |
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| 0.0458 | 2.88 | 1000 | 0.0263 | 0.7299 | |
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| 0.0458 | 3.45 | 1200 | 0.0273 | 0.7357 | |
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| 0.0222 | 4.03 | 1400 | 0.0255 | 0.7374 | |
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| 0.0222 | 4.6 | 1600 | 0.0268 | 0.7398 | |
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| 0.0222 | 5.18 | 1800 | 0.0316 | 0.7371 | |
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| 0.0222 | 5.76 | 2000 | 0.0245 | 0.7445 | |
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| 0.0155 | 6.33 | 2200 | 0.0264 | 0.7484 | |
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| 0.0155 | 6.91 | 2400 | 0.0311 | 0.7549 | |
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| 0.0155 | 7.48 | 2600 | 0.0223 | 0.7585 | |
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| 0.0112 | 8.06 | 2800 | 0.0257 | 0.7483 | |
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| 0.0112 | 8.63 | 3000 | 0.0240 | 0.7507 | |
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| 0.0112 | 9.21 | 3200 | 0.0275 | 0.7609 | |
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| 0.0112 | 9.78 | 3400 | 0.0265 | 0.7565 | |
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| 0.0086 | 10.36 | 3600 | 0.0250 | 0.7534 | |
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| 0.0086 | 10.94 | 3800 | 0.0285 | 0.7577 | |
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| 0.0086 | 11.51 | 4000 | 0.0225 | 0.7625 | |
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| 0.007 | 12.09 | 4200 | 0.0233 | 0.7621 | |
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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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