---
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_freeze_encoder_2048_8
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# multi_task_model_content_freeze_encoder_2048_8

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: 0.8441
- Accuracy: 0.6952
- F1: 0.4707

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.3077        | 1.0   | 330  | 1.1435          | 0.5855   | 0.2698 |
| 1.127         | 2.0   | 660  | 1.0268          | 0.6204   | 0.3367 |
| 1.0532        | 3.0   | 990  | 0.9587          | 0.6595   | 0.4240 |
| 1.0091        | 4.0   | 1320 | 0.9028          | 0.6829   | 0.4461 |
| 0.9842        | 5.0   | 1650 | 0.8887          | 0.6783   | 0.4405 |
| 0.9671        | 6.0   | 1980 | 0.8665          | 0.6897   | 0.4568 |
| 0.955         | 7.0   | 2310 | 0.8712          | 0.6887   | 0.4619 |
| 0.9468        | 8.0   | 2640 | 0.8543          | 0.6885   | 0.4584 |
| 0.936         | 9.0   | 2970 | 0.8436          | 0.6975   | 0.4721 |
| 0.9376        | 10.0  | 3300 | 0.8441          | 0.6952   | 0.4707 |


### Framework versions

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