---
library_name: transformers
license: agpl-3.0
base_model: RonTon05/model_content_V2_test
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: multi_task_model_content
  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. -->

# multi_task_model_content

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: 0.9316
- Accuracy: 0.6755
- F1: 0.4286

## 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: 0.0001
- 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 | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.3757        | 1.0   | 330  | 1.2561          | 0.4734   | 0.1465 |
| 1.2316        | 2.0   | 660  | 1.1385          | 0.5831   | 0.2662 |
| 1.1559        | 3.0   | 990  | 1.0708          | 0.6375   | 0.3607 |
| 1.1027        | 4.0   | 1320 | 1.0156          | 0.6637   | 0.4096 |
| 1.0688        | 5.0   | 1650 | 0.9840          | 0.6608   | 0.4077 |
| 1.0474        | 6.0   | 1980 | 0.9621          | 0.6709   | 0.4164 |
| 1.0314        | 7.0   | 2310 | 0.9583          | 0.6645   | 0.4103 |
| 1.0212        | 8.0   | 2640 | 0.9407          | 0.6745   | 0.4258 |
| 1.0097        | 9.0   | 2970 | 0.9329          | 0.6758   | 0.4305 |
| 1.0096        | 10.0  | 3300 | 0.9316          | 0.6755   | 0.4286 |


### Framework versions

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