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--- |
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license: mit |
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base_model: haryoaw/scenario-TCR_data-cl-cardiff_cl_only2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: scenario-KD-PO-CDF-CL-D2_data-cl-cardiff_cl_only_alpha-jason |
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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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# scenario-KD-PO-CDF-CL-D2_data-cl-cardiff_cl_only_alpha-jason |
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This model is a fine-tuned version of [haryoaw/scenario-TCR_data-cl-cardiff_cl_only2](https://huggingface.co/haryoaw/scenario-TCR_data-cl-cardiff_cl_only2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 16.1676 |
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- Accuracy: 0.4005 |
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- F1: 0.3988 |
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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-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 2222 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.09 | 250 | 11.7802 | 0.3727 | 0.3689 | |
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| 13.6353 | 2.17 | 500 | 10.9269 | 0.4120 | 0.4013 | |
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| 13.6353 | 3.26 | 750 | 10.7530 | 0.4066 | 0.4034 | |
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| 11.1498 | 4.35 | 1000 | 11.4698 | 0.4059 | 0.3994 | |
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| 11.1498 | 5.43 | 1250 | 11.1047 | 0.4182 | 0.4140 | |
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| 9.4007 | 6.52 | 1500 | 11.6114 | 0.4028 | 0.3911 | |
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| 9.4007 | 7.61 | 1750 | 12.1035 | 0.3935 | 0.3911 | |
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| 8.1024 | 8.7 | 2000 | 13.1654 | 0.4090 | 0.4035 | |
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| 8.1024 | 9.78 | 2250 | 12.8799 | 0.4020 | 0.4001 | |
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| 7.094 | 10.87 | 2500 | 12.5580 | 0.4082 | 0.3972 | |
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| 7.094 | 11.96 | 2750 | 12.7991 | 0.4228 | 0.4214 | |
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| 6.1021 | 13.04 | 3000 | 13.4827 | 0.3920 | 0.3906 | |
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| 6.1021 | 14.13 | 3250 | 14.8695 | 0.4159 | 0.4135 | |
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| 5.1725 | 15.22 | 3500 | 14.0881 | 0.4090 | 0.4081 | |
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| 5.1725 | 16.3 | 3750 | 14.4576 | 0.3866 | 0.3782 | |
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| 4.616 | 17.39 | 4000 | 14.4197 | 0.3819 | 0.3777 | |
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| 4.616 | 18.48 | 4250 | 15.2137 | 0.3997 | 0.3986 | |
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| 4.0484 | 19.57 | 4500 | 15.2744 | 0.3943 | 0.3939 | |
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| 4.0484 | 20.65 | 4750 | 15.3068 | 0.3858 | 0.3840 | |
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| 3.6271 | 21.74 | 5000 | 16.0691 | 0.4059 | 0.4030 | |
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| 3.6271 | 22.83 | 5250 | 15.7583 | 0.4120 | 0.4120 | |
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| 3.3297 | 23.91 | 5500 | 15.9934 | 0.4028 | 0.4002 | |
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| 3.3297 | 25.0 | 5750 | 16.3662 | 0.4097 | 0.4092 | |
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| 3.0762 | 26.09 | 6000 | 16.4914 | 0.4051 | 0.4040 | |
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| 3.0762 | 27.17 | 6250 | 16.4281 | 0.4051 | 0.4043 | |
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| 2.8363 | 28.26 | 6500 | 16.3025 | 0.4151 | 0.4149 | |
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| 2.8363 | 29.35 | 6750 | 16.1676 | 0.4005 | 0.3988 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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