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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_beta-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_beta-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: 16.2119 |
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- Accuracy: 0.3974 |
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- F1: 0.3962 |
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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: 6666 |
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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 | 11.7960 | 0.3650 | 0.3427 | |
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| 13.5624 | 2.17 | 500 | 11.1810 | 0.3927 | 0.3922 | |
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| 13.5624 | 3.26 | 750 | 10.7353 | 0.3889 | 0.3725 | |
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| 11.0045 | 4.35 | 1000 | 11.0340 | 0.4113 | 0.4092 | |
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| 11.0045 | 5.43 | 1250 | 11.1511 | 0.3958 | 0.3764 | |
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| 9.4397 | 6.52 | 1500 | 11.3893 | 0.4128 | 0.4098 | |
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| 9.4397 | 7.61 | 1750 | 11.7867 | 0.4174 | 0.4136 | |
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| 8.0563 | 8.7 | 2000 | 12.7215 | 0.4020 | 0.3934 | |
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| 8.0563 | 9.78 | 2250 | 13.1991 | 0.4159 | 0.4158 | |
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| 7.071 | 10.87 | 2500 | 13.4791 | 0.3966 | 0.3938 | |
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| 7.071 | 11.96 | 2750 | 12.9321 | 0.4005 | 0.3939 | |
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| 5.9842 | 13.04 | 3000 | 13.5185 | 0.3873 | 0.3775 | |
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| 5.9842 | 14.13 | 3250 | 14.5623 | 0.4028 | 0.3984 | |
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| 5.0429 | 15.22 | 3500 | 14.7614 | 0.4012 | 0.3954 | |
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| 5.0429 | 16.3 | 3750 | 13.8500 | 0.4151 | 0.4149 | |
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| 4.4814 | 17.39 | 4000 | 14.0842 | 0.4051 | 0.4022 | |
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| 4.4814 | 18.48 | 4250 | 14.4055 | 0.3904 | 0.3804 | |
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| 4.0867 | 19.57 | 4500 | 15.5442 | 0.3858 | 0.3809 | |
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| 4.0867 | 20.65 | 4750 | 14.6236 | 0.3966 | 0.3951 | |
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| 3.5928 | 21.74 | 5000 | 14.9268 | 0.4005 | 0.3920 | |
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| 3.5928 | 22.83 | 5250 | 15.2065 | 0.3897 | 0.3884 | |
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| 3.2444 | 23.91 | 5500 | 16.5178 | 0.3889 | 0.3860 | |
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| 3.2444 | 25.0 | 5750 | 15.1592 | 0.3920 | 0.3879 | |
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| 3.0552 | 26.09 | 6000 | 15.4594 | 0.3974 | 0.3952 | |
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| 3.0552 | 27.17 | 6250 | 15.8492 | 0.3843 | 0.3842 | |
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| 2.8654 | 28.26 | 6500 | 15.8468 | 0.3827 | 0.3806 | |
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| 2.8654 | 29.35 | 6750 | 16.2119 | 0.3974 | 0.3962 | |
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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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