---
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_v2
  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_v2

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: 0.6475
- Accuracy: 0.8393
- F1: 0.7943

## 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 | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8455        | 1.0   | 330  | 0.5639          | 0.8173   | 0.6339 |
| 0.4627        | 2.0   | 660  | 0.4889          | 0.8336   | 0.8008 |
| 0.3243        | 3.0   | 990  | 0.4974          | 0.8462   | 0.8006 |
| 0.2389        | 4.0   | 1320 | 0.4918          | 0.8517   | 0.8113 |
| 0.1751        | 5.0   | 1650 | 0.5684          | 0.8458   | 0.7990 |
| 0.1284        | 6.0   | 1980 | 0.6475          | 0.8393   | 0.7943 |


### Framework versions

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