---
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_test
  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_test

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: 0.7566
- Accuracy: 0.7193
- F1: 0.5747

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.2964        | 1.0   | 330  | 1.0605          | 0.5994   | 0.2868 |
| 1.0642        | 2.0   | 660  | 0.9130          | 0.6728   | 0.4183 |
| 0.9992        | 3.0   | 990  | 0.9178          | 0.6535   | 0.4183 |
| 0.9593        | 4.0   | 1320 | 0.8611          | 0.6823   | 0.4487 |
| 0.9419        | 5.0   | 1650 | 0.8100          | 0.7050   | 0.4809 |
| 0.9218        | 6.0   | 1980 | 0.8000          | 0.7054   | 0.4725 |
| 0.9183        | 7.0   | 2310 | 0.8177          | 0.6952   | 0.4968 |
| 0.8991        | 8.0   | 2640 | 0.7862          | 0.7079   | 0.5189 |
| 0.8906        | 9.0   | 2970 | 0.8415          | 0.6770   | 0.5129 |
| 0.8845        | 10.0  | 3300 | 0.7854          | 0.7047   | 0.5426 |
| 0.8842        | 11.0  | 3630 | 0.7696          | 0.7138   | 0.5485 |
| 0.8661        | 12.0  | 3960 | 0.7576          | 0.7198   | 0.5542 |
| 0.8732        | 13.0  | 4290 | 0.7771          | 0.7096   | 0.5569 |
| 0.8647        | 14.0  | 4620 | 0.7584          | 0.7189   | 0.5666 |
| 0.8659        | 15.0  | 4950 | 0.7566          | 0.7193   | 0.5747 |


### Framework versions

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