---
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_Binary_Head
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MTL_Frozen_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: 0.9871
- F1 Task1: 0.9903
- F1 Task2: 0.7752
- Acc Task1: 0.9945
- Acc Task2: 0.7587
- F1: 0.8828
- F1 Macro: 0.8828

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:---------:|:------:|:--------:|
| 1.6496        | 1.0   | 275  | 1.3011          | 0.9763   | 0.3112   | 0.9864    | 0.5693    | 0.6438 | 0.6438   |
| 1.0802        | 2.0   | 550  | 1.0318          | 0.9895   | 0.5528   | 0.9941    | 0.6586    | 0.7711 | 0.7711   |
| 0.8327        | 3.0   | 825  | 0.9183          | 0.9880   | 0.6750   | 0.9932    | 0.7200    | 0.8315 | 0.8315   |
| 0.6482        | 4.0   | 1100 | 0.8339          | 0.9895   | 0.7142   | 0.9941    | 0.7444    | 0.8519 | 0.8519   |
| 0.5080        | 5.0   | 1375 | 0.8138          | 0.9899   | 0.7506   | 0.9943    | 0.7521    | 0.8703 | 0.8703   |
| 0.3938        | 6.0   | 1650 | 0.8271          | 0.9899   | 0.7537   | 0.9943    | 0.7526    | 0.8718 | 0.8718   |
| 0.3061        | 7.0   | 1925 | 0.9401          | 0.9895   | 0.7559   | 0.9941    | 0.7439    | 0.8727 | 0.8727   |
| 0.2469        | 8.0   | 2200 | 0.9307          | 0.9899   | 0.7725   | 0.9943    | 0.7585    | 0.8812 | 0.8812   |
| 0.2041        | 9.0   | 2475 | 0.9748          | 0.9899   | 0.7718   | 0.9943    | 0.7578    | 0.8808 | 0.8808   |
| 0.1769        | 10.0  | 2750 | 0.9871          | 0.9903   | 0.7752   | 0.9945    | 0.7587    | 0.8828 | 0.8828   |


### Framework versions

- Transformers 5.9.0
- Pytorch 2.7.1+cu118
- Datasets 4.8.5
- Tokenizers 0.22.2