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--- |
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license: mit |
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base_model: haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only |
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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-EN-FROM-EN-D2_data-en-cardiff_eng_only66 |
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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-EN-FROM-EN-D2_data-en-cardiff_eng_only66 |
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This model is a fine-tuned version of [haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only](https://huggingface.co/haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 24.7382 |
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- Accuracy: 0.4550 |
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- F1: 0.4534 |
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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: 66 |
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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 | 1.72 | 100 | 15.4704 | 0.4568 | 0.4535 | |
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| No log | 3.45 | 200 | 16.0314 | 0.4669 | 0.4628 | |
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| No log | 5.17 | 300 | 19.1999 | 0.4568 | 0.4479 | |
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| No log | 6.9 | 400 | 21.8826 | 0.4546 | 0.4456 | |
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| 9.984 | 8.62 | 500 | 21.4137 | 0.4572 | 0.4573 | |
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| 9.984 | 10.34 | 600 | 23.3766 | 0.4396 | 0.4365 | |
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| 9.984 | 12.07 | 700 | 24.2726 | 0.4475 | 0.4365 | |
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| 9.984 | 13.79 | 800 | 24.3246 | 0.4502 | 0.4440 | |
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| 9.984 | 15.52 | 900 | 24.9899 | 0.4634 | 0.4616 | |
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| 1.9269 | 17.24 | 1000 | 24.6384 | 0.4616 | 0.4583 | |
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| 1.9269 | 18.97 | 1100 | 24.3379 | 0.4493 | 0.4454 | |
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| 1.9269 | 20.69 | 1200 | 24.6032 | 0.4625 | 0.4577 | |
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| 1.9269 | 22.41 | 1300 | 24.1732 | 0.4608 | 0.4572 | |
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| 1.9269 | 24.14 | 1400 | 25.5374 | 0.4493 | 0.4448 | |
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| 0.6962 | 25.86 | 1500 | 24.3690 | 0.4563 | 0.4553 | |
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| 0.6962 | 27.59 | 1600 | 24.9417 | 0.4515 | 0.4488 | |
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| 0.6962 | 29.31 | 1700 | 24.7382 | 0.4550 | 0.4534 | |
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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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