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--- |
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license: mit |
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base_model: BigTMiami/micro_base_help_tapt_pretrain_model |
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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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model-index: |
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- name: micro_base_help_class_tapt_seed_4 |
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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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# micro_base_help_class_tapt_seed_4 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9585 |
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- Accuracy: 0.847 |
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- F1 Macro: 0.6633 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 4 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 0.3721 | 1.0 | 313 | 0.3594 | 0.8574 | 0.5072 | |
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| 0.3008 | 2.0 | 626 | 0.3596 | 0.8662 | 0.6247 | |
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| 0.248 | 3.0 | 939 | 0.3616 | 0.8516 | 0.6425 | |
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| 0.1696 | 4.0 | 1252 | 0.5631 | 0.8306 | 0.6510 | |
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| 0.1631 | 5.0 | 1565 | 0.7292 | 0.8436 | 0.6440 | |
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| 0.1096 | 6.0 | 1878 | 1.0237 | 0.8378 | 0.6614 | |
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| 0.0839 | 7.0 | 2191 | 0.8822 | 0.8532 | 0.6140 | |
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| 0.0652 | 8.0 | 2504 | 1.0052 | 0.8532 | 0.6344 | |
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| 0.0329 | 9.0 | 2817 | 1.1225 | 0.848 | 0.6417 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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