---
library_name: transformers
license: agpl-3.0
base_model: ttqdunggg/finetune_cls_vs_content_ronbackbone_100k
tags:
- generated_from_trainer
model-index:
- name: 2_task_v2_new2labels
  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. -->

# 2_task_v2_new2labels

This model is a fine-tuned version of [ttqdunggg/finetune_cls_vs_content_ronbackbone_100k](https://huggingface.co/ttqdunggg/finetune_cls_vs_content_ronbackbone_100k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- F1 New: 0.7766
- Acc New: 0.7868

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 80
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 New | Acc New |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 0.6547        | 1.0   | 40   | nan             | 0.6830 | 0.7426  |
| 0.5695        | 2.0   | 80   | nan             | 0.7176 | 0.7574  |
| 0.5323        | 3.0   | 120  | nan             | 0.7236 | 0.75    |
| 0.5104        | 4.0   | 160  | nan             | 0.7527 | 0.7647  |
| 0.4958        | 5.0   | 200  | nan             | 0.7654 | 0.7868  |
| 0.4795        | 6.0   | 240  | nan             | 0.7405 | 0.75    |
| 0.4719        | 7.0   | 280  | nan             | 0.7874 | 0.8015  |
| 0.4584        | 8.0   | 320  | nan             | 0.7874 | 0.8015  |
| 0.4528        | 9.0   | 360  | nan             | 0.7612 | 0.7721  |
| 0.4434        | 10.0  | 400  | nan             | 0.7766 | 0.7868  |
| 0.4443        | 11.0  | 440  | nan             | 0.7961 | 0.8088  |
| 0.4358        | 12.0  | 480  | nan             | 0.7836 | 0.7941  |
| 0.4393        | 13.0  | 520  | nan             | 0.7696 | 0.7794  |
| 0.4391        | 14.0  | 560  | nan             | 0.7766 | 0.7868  |
| 0.4265        | 15.0  | 600  | nan             | 0.7836 | 0.7941  |
| 0.4270        | 16.0  | 640  | nan             | 0.7766 | 0.7868  |


### Framework versions

- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2