---
library_name: transformers
license: agpl-3.0
base_model: RonTon05/model_content_V2_test
tags:
- generated_from_trainer
model-index:
- name: multi_task_model_general_fine_tune
  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_general_fine_tune

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:
- Acc Content: 0.9775
- F1 Content: 0.9612
- Acc Classification: 0.8299
- F1 Classification: 0.7954
- Loss: 0.6929

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 5

### Training results

| Training Loss | Epoch | Step | Acc Content | F1 Content | Acc Classification | F1 Classification | Validation Loss |
|:-------------:|:-----:|:----:|:-----------:|:----------:|:------------------:|:-----------------:|:---------------:|
| No log        | 1.0   | 276  | 0.9751      | 0.9569     | 0.8056             | 0.7523            | 0.7369          |
| 0.5614        | 2.0   | 552  | 0.9755      | 0.9582     | 0.8161             | 0.7741            | 0.6704          |
| 0.5614        | 3.0   | 828  | 0.9760      | 0.9582     | 0.8201             | 0.7709            | 0.6735          |
| 0.3769        | 4.0   | 1104 | 0.9766      | 0.9595     | 0.8263             | 0.7853            | 0.6859          |
| 0.3769        | 5.0   | 1380 | 0.9775      | 0.9612     | 0.8299             | 0.7954            | 0.6929          |


### Framework versions

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