---
library_name: transformers
license: agpl-3.0
base_model: RonTon05/model_content_V2_test
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: MTL_Frozen_backbone_binary_head
  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. -->

# MTL_Frozen_backbone_binary_head

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: 1.4753
- F1 Task1: 0.9972
- F1 Task2: 0.1840
- Acc Task1: 0.9984
- Acc Task2: 0.4232
- F1: 0.5906
- F1 Macro: 0.5906

## 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 | F1 Task1 | F1 Task2 | Acc Task1 | Acc Task2 | F1     | F1 Macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:---------:|:------:|:--------:|
| 1.7773        | 1.0   | 275  | 1.6048          | 0.9972   | 0.1044   | 0.9984    | 0.3675    | 0.5508 | 0.5508   |
| 1.6021        | 2.0   | 550  | 1.5769          | 0.9972   | 0.1191   | 0.9984    | 0.3766    | 0.5581 | 0.5581   |
| 1.5781        | 3.0   | 825  | 1.5521          | 0.9972   | 0.1375   | 0.9984    | 0.3914    | 0.5673 | 0.5673   |
| 1.5592        | 4.0   | 1100 | 1.5308          | 0.9972   | 0.1654   | 0.9984    | 0.4089    | 0.5813 | 0.5813   |
| 1.5428        | 5.0   | 1375 | 1.5133          | 0.9972   | 0.1702   | 0.9984    | 0.4112    | 0.5837 | 0.5837   |
| 1.5241        | 6.0   | 1650 | 1.4985          | 0.9972   | 0.1821   | 0.9984    | 0.4255    | 0.5896 | 0.5896   |
| 1.5147        | 7.0   | 1925 | 1.4875          | 0.9972   | 0.1758   | 0.9984    | 0.4180    | 0.5865 | 0.5865   |
| 1.4986        | 8.0   | 2200 | 1.4837          | 0.9972   | 0.1775   | 0.9984    | 0.4196    | 0.5873 | 0.5873   |
| 1.4979        | 9.0   | 2475 | 1.4764          | 0.9972   | 0.1843   | 0.9984    | 0.4239    | 0.5907 | 0.5907   |
| 1.4914        | 10.0  | 2750 | 1.4753          | 0.9972   | 0.1840   | 0.9984    | 0.4232    | 0.5906 | 0.5906   |


### Framework versions

- Transformers 5.10.1
- Pytorch 2.7.1+cu118
- Datasets 4.8.5
- Tokenizers 0.22.2