| --- |
| license: mit |
| base_model: BigTMiami/micro_base_help_tapt_pretrain_model |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: micro_base_help_class_tapt_seed_3 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # micro_base_help_class_tapt_seed_3 |
|
|
| This model is a fine-tuned version of [BigTMiami/micro_base_help_tapt_pretrain_model](https://huggingface.co/BigTMiami/micro_base_help_tapt_pretrain_model) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3588 |
| - Accuracy: 0.8398 |
| - F1 Macro: 0.6881 |
|
|
| ## 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: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 3 |
| - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
| | 0.3463 | 1.0 | 313 | 0.3531 | 0.8586 | 0.6005 | |
| | 0.303 | 2.0 | 626 | 0.3318 | 0.8616 | 0.5976 | |
| | 0.2288 | 3.0 | 939 | 0.3732 | 0.8288 | 0.6841 | |
| | 0.1718 | 4.0 | 1252 | 0.6695 | 0.8586 | 0.5697 | |
| | 0.1466 | 5.0 | 1565 | 0.7902 | 0.855 | 0.6347 | |
| | 0.0853 | 6.0 | 1878 | 0.9930 | 0.847 | 0.6702 | |
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| ### Framework versions |
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|
| - Transformers 4.36.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.15.2 |
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|
