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---
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_4
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_4
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: 0.9585
- Accuracy: 0.847
- F1 Macro: 0.6633
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 4
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3721 | 1.0 | 313 | 0.3594 | 0.8574 | 0.5072 |
| 0.3008 | 2.0 | 626 | 0.3596 | 0.8662 | 0.6247 |
| 0.248 | 3.0 | 939 | 0.3616 | 0.8516 | 0.6425 |
| 0.1696 | 4.0 | 1252 | 0.5631 | 0.8306 | 0.6510 |
| 0.1631 | 5.0 | 1565 | 0.7292 | 0.8436 | 0.6440 |
| 0.1096 | 6.0 | 1878 | 1.0237 | 0.8378 | 0.6614 |
| 0.0839 | 7.0 | 2191 | 0.8822 | 0.8532 | 0.6140 |
| 0.0652 | 8.0 | 2504 | 1.0052 | 0.8532 | 0.6344 |
| 0.0329 | 9.0 | 2817 | 1.1225 | 0.848 | 0.6417 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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