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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_test
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. -->
# multi_task_model_content_test
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: 0.7566
- Accuracy: 0.7193
- F1: 0.5747
## 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: 0.0001
- 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: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.2964 | 1.0 | 330 | 1.0605 | 0.5994 | 0.2868 |
| 1.0642 | 2.0 | 660 | 0.9130 | 0.6728 | 0.4183 |
| 0.9992 | 3.0 | 990 | 0.9178 | 0.6535 | 0.4183 |
| 0.9593 | 4.0 | 1320 | 0.8611 | 0.6823 | 0.4487 |
| 0.9419 | 5.0 | 1650 | 0.8100 | 0.7050 | 0.4809 |
| 0.9218 | 6.0 | 1980 | 0.8000 | 0.7054 | 0.4725 |
| 0.9183 | 7.0 | 2310 | 0.8177 | 0.6952 | 0.4968 |
| 0.8991 | 8.0 | 2640 | 0.7862 | 0.7079 | 0.5189 |
| 0.8906 | 9.0 | 2970 | 0.8415 | 0.6770 | 0.5129 |
| 0.8845 | 10.0 | 3300 | 0.7854 | 0.7047 | 0.5426 |
| 0.8842 | 11.0 | 3630 | 0.7696 | 0.7138 | 0.5485 |
| 0.8661 | 12.0 | 3960 | 0.7576 | 0.7198 | 0.5542 |
| 0.8732 | 13.0 | 4290 | 0.7771 | 0.7096 | 0.5569 |
| 0.8647 | 14.0 | 4620 | 0.7584 | 0.7189 | 0.5666 |
| 0.8659 | 15.0 | 4950 | 0.7566 | 0.7193 | 0.5747 |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1
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