---
library_name: transformers
license: agpl-3.0
base_model: RonTon05/model_content_V2_test
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: 2_task_ronbackbone
  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_ronbackbone

This model is a fine-tuned version of [RonTon05/model_content_V2_test](https://huggingface.co/RonTon05/model_content_V2_test) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9458
- F1 Task1: 0.9899
- F1 Task2: 0.7693
- Acc Task1: 0.9943
- Acc Task2: 0.7594
- F1: 0.8796

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Task1 | F1 Task2 | Acc Task1 | Acc Task2 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:---------:|:------:|
| 1.6713        | 1.0   | 275  | 1.2787          | 0.9891   | 0.2942   | 0.9939    | 0.5770    | 0.6417 |
| 1.0858        | 2.0   | 550  | 0.9996          | 0.9878   | 0.5125   | 0.9932    | 0.6705    | 0.7502 |
| 0.8193        | 3.0   | 825  | 0.8985          | 0.9883   | 0.6905   | 0.9934    | 0.7264    | 0.8394 |
| 0.6378        | 4.0   | 1100 | 0.8489          | 0.9882   | 0.7155   | 0.9934    | 0.7396    | 0.8518 |
| 0.5047        | 5.0   | 1375 | 0.8162          | 0.9883   | 0.7595   | 0.9934    | 0.7582    | 0.8739 |
| 0.3987        | 6.0   | 1650 | 0.8093          | 0.9887   | 0.7604   | 0.9936    | 0.7605    | 0.8745 |
| 0.3203        | 7.0   | 1925 | 0.8862          | 0.9907   | 0.7591   | 0.9948    | 0.7535    | 0.8749 |
| 0.2643        | 8.0   | 2200 | 0.9012          | 0.9899   | 0.7689   | 0.9943    | 0.7646    | 0.8794 |
| 0.2207        | 9.0   | 2475 | 0.9342          | 0.9899   | 0.7761   | 0.9943    | 0.7612    | 0.8830 |
| 0.1959        | 10.0  | 2750 | 0.9458          | 0.9899   | 0.7693   | 0.9943    | 0.7594    | 0.8796 |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1