---
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_22K
  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_22K

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: 0.9429
- Accuracy: 0.7771
- F1: 0.7808

## 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 | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.5127        | 1.0   | 292  | 1.0712          | 0.6152   | 0.3225 |
| 0.9098        | 2.0   | 584  | 0.8403          | 0.7041   | 0.5276 |
| 0.701         | 3.0   | 876  | 0.7457          | 0.7508   | 0.7122 |
| 0.5416        | 4.0   | 1168 | 0.7378          | 0.7608   | 0.7700 |
| 0.4139        | 5.0   | 1460 | 0.7585          | 0.7723   | 0.7802 |
| 0.3201        | 6.0   | 1752 | 0.8053          | 0.7708   | 0.7791 |
| 0.2549        | 7.0   | 2044 | 0.8727          | 0.7714   | 0.7810 |
| 0.2028        | 8.0   | 2336 | 0.9825          | 0.7583   | 0.7741 |
| 0.1688        | 9.0   | 2628 | 0.9506          | 0.7756   | 0.7811 |
| 0.1449        | 10.0  | 2920 | 0.9429          | 0.7771   | 0.7808 |


### Framework versions

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