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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_delta-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_delta-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: 15.4781 |
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- Accuracy: 0.4043 |
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- F1: 0.3989 |
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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: 7777 |
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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 | 11.8950 | 0.3735 | 0.3391 | |
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| 13.6959 | 2.17 | 500 | 11.1790 | 0.3850 | 0.3767 | |
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| 13.6959 | 3.26 | 750 | 11.1554 | 0.4082 | 0.4075 | |
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| 11.138 | 4.35 | 1000 | 11.3070 | 0.4090 | 0.4082 | |
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| 11.138 | 5.43 | 1250 | 11.4384 | 0.4043 | 0.4029 | |
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| 9.5889 | 6.52 | 1500 | 11.3483 | 0.4090 | 0.4061 | |
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| 9.5889 | 7.61 | 1750 | 12.4116 | 0.4020 | 0.3985 | |
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| 8.2638 | 8.7 | 2000 | 11.7820 | 0.3997 | 0.3798 | |
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| 8.2638 | 9.78 | 2250 | 11.9709 | 0.4012 | 0.4001 | |
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| 6.9206 | 10.87 | 2500 | 12.7419 | 0.4198 | 0.4197 | |
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| 6.9206 | 11.96 | 2750 | 13.1813 | 0.4074 | 0.4078 | |
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| 5.993 | 13.04 | 3000 | 13.5405 | 0.4074 | 0.4062 | |
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| 5.993 | 14.13 | 3250 | 13.6698 | 0.3920 | 0.3860 | |
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| 5.1998 | 15.22 | 3500 | 13.8872 | 0.3989 | 0.3991 | |
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| 5.1998 | 16.3 | 3750 | 13.8954 | 0.4074 | 0.4076 | |
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| 4.6117 | 17.39 | 4000 | 14.2214 | 0.4090 | 0.4090 | |
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| 4.6117 | 18.48 | 4250 | 13.7015 | 0.4097 | 0.4033 | |
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| 4.0848 | 19.57 | 4500 | 14.8333 | 0.3912 | 0.3798 | |
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| 4.0848 | 20.65 | 4750 | 14.0279 | 0.4035 | 0.3989 | |
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| 3.7518 | 21.74 | 5000 | 14.6064 | 0.4035 | 0.4024 | |
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| 3.7518 | 22.83 | 5250 | 14.6257 | 0.3943 | 0.3914 | |
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| 3.285 | 23.91 | 5500 | 14.5868 | 0.4020 | 0.3968 | |
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| 3.285 | 25.0 | 5750 | 15.5230 | 0.3843 | 0.3756 | |
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| 3.0056 | 26.09 | 6000 | 14.9209 | 0.3904 | 0.3811 | |
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| 3.0056 | 27.17 | 6250 | 14.9466 | 0.3981 | 0.3968 | |
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| 2.8364 | 28.26 | 6500 | 15.5711 | 0.3881 | 0.3824 | |
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| 2.8364 | 29.35 | 6750 | 15.4781 | 0.4043 | 0.3989 | |
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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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