---
library_name: peft
license: agpl-3.0
base_model: RonTon05/model_content_V2_test
tags:
- lora
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: 1.7753
- Accuracy: 0.4753
- F1: 0.5099

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 2.0293        | 1.0   | 330  | 1.9741          | 0.2832   | 0.1707 |
| 1.9647        | 2.0   | 660  | 1.9200          | 0.3949   | 0.2933 |
| 1.9221        | 3.0   | 990  | 1.8736          | 0.4171   | 0.3336 |
| 1.8875        | 4.0   | 1320 | 1.8436          | 0.4211   | 0.3419 |
| 1.8633        | 5.0   | 1650 | 1.8225          | 0.4380   | 0.3739 |
| 1.8451        | 6.0   | 1980 | 1.8029          | 0.4596   | 0.4718 |
| 1.8321        | 7.0   | 2310 | 1.7910          | 0.4717   | 0.5035 |
| 1.8214        | 8.0   | 2640 | 1.7819          | 0.4710   | 0.4954 |
| 1.8139        | 9.0   | 2970 | 1.7764          | 0.4744   | 0.5062 |
| 1.8101        | 10.0  | 3300 | 1.7753          | 0.4753   | 0.5099 |


### Framework versions

- PEFT 0.16.0
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1