---
license: mit
base_model: tangminhanh/ops_tg
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: ops_cate
  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. -->

# ops_cate

This model is a fine-tuned version of [tangminhanh/ops_tg](https://huggingface.co/tangminhanh/ops_tg) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0637
- Accuracy: 0.7300
- F1: 0.7824
- Precision: 0.8357
- Recall: 0.7355

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| No log        | 1.0   | 121  | 0.1398          | 0.1661   | 0.2807 | 0.9302    | 0.1653 |
| No log        | 2.0   | 242  | 0.1019          | 0.4891   | 0.6180 | 0.8375    | 0.4897 |
| No log        | 3.0   | 363  | 0.0805          | 0.6532   | 0.7296 | 0.8234    | 0.6550 |
| No log        | 4.0   | 484  | 0.0711          | 0.6854   | 0.7523 | 0.8313    | 0.6870 |
| 0.1434        | 5.0   | 605  | 0.0655          | 0.7072   | 0.7697 | 0.8409    | 0.7097 |
| 0.1434        | 6.0   | 726  | 0.0645          | 0.7227   | 0.7742 | 0.8316    | 0.7242 |
| 0.1434        | 7.0   | 847  | 0.0637          | 0.7300   | 0.7824 | 0.8357    | 0.7355 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1