---
library_name: transformers
license: agpl-3.0
base_model: RonTon05/model_content_V2_test
tags:
- generated_from_trainer
model-index:
- name: 3adapter_ronbackbone_2_task
  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. -->

# 3adapter_ronbackbone_2_task

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:
- Acc Classification: 0.8229
- F1 Classification: 0.7802
- Acc Content: 0.9692
- F1 Content: 0.9474
- Loss: 0.3420

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 5

### Training results

| Training Loss | Epoch | Step | Acc Classification | F1 Classification | Acc Content | F1 Content | Validation Loss |
|:-------------:|:-----:|:----:|:------------------:|:-----------------:|:-----------:|:----------:|:---------------:|
| No log        | 1.0   | 276  | 0.7814             | 0.6988            | 0.9612      | 0.9345     | 0.4392          |
| 0.5301        | 2.0   | 552  | 0.8061             | 0.7603            | 0.9626      | 0.9367     | 0.3629          |
| 0.5301        | 3.0   | 828  | 0.8145             | 0.7695            | 0.9671      | 0.9439     | 0.3474          |
| 0.2514        | 4.0   | 1104 | 0.8231             | 0.7821            | 0.9689      | 0.9470     | 0.3383          |
| 0.2514        | 5.0   | 1380 | 0.8229             | 0.7802            | 0.9692      | 0.9474     | 0.3420          |


### Framework versions

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