---
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

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: 3
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3463        | 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   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2