---
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_ESC
  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_ESC

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: 0.9798
- F1 Task1: 0.9891
- F1 Task2: 0.7678
- Acc Task1: 0.9939
- Acc Task2: 0.7626
- F1: 0.8784
- F1 Macro: 0.8784

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:---------:|:------:|:--------:|
| 1.6569        | 1.0   | 275  | 1.2547          | 0.9879   | 0.2903   | 0.9932    | 0.5718    | 0.6391 | 0.6391   |
| 1.0892        | 2.0   | 550  | 1.0031          | 0.9879   | 0.5537   | 0.9932    | 0.6748    | 0.7708 | 0.7708   |
| 0.8380        | 3.0   | 825  | 0.9031          | 0.9863   | 0.6681   | 0.9923    | 0.7150    | 0.8272 | 0.8272   |
| 0.6510        | 4.0   | 1100 | 0.8875          | 0.9879   | 0.7025   | 0.9932    | 0.7262    | 0.8452 | 0.8452   |
| 0.5109        | 5.0   | 1375 | 0.8376          | 0.9883   | 0.7234   | 0.9934    | 0.7521    | 0.8559 | 0.8559   |
| 0.3947        | 6.0   | 1650 | 0.8322          | 0.9891   | 0.7526   | 0.9939    | 0.7610    | 0.8708 | 0.8708   |
| 0.3137        | 7.0   | 1925 | 0.9283          | 0.9886   | 0.7496   | 0.9936    | 0.7516    | 0.8691 | 0.8691   |
| 0.2608        | 8.0   | 2200 | 0.9745          | 0.9899   | 0.7599   | 0.9943    | 0.7562    | 0.8749 | 0.8749   |
| 0.2211        | 9.0   | 2475 | 0.9593          | 0.9875   | 0.7710   | 0.9929    | 0.7646    | 0.8793 | 0.8793   |
| 0.1950        | 10.0  | 2750 | 0.9798          | 0.9891   | 0.7678   | 0.9939    | 0.7626    | 0.8784 | 0.8784   |


### Framework versions

- Transformers 5.10.2
- Pytorch 2.7.1+cu118
- Datasets 4.8.5
- Tokenizers 0.22.2