---
library_name: transformers
license: apache-2.0
base_model: Jsevisal/ModernEMO-wheel-base-classweight
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: ModernEMO-psiconnea-wheel-base-classweight
  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. -->

# ModernEMO-psiconnea-wheel-base-classweight

This model is a fine-tuned version of [Jsevisal/ModernEMO-wheel-base-classweight](https://huggingface.co/Jsevisal/ModernEMO-wheel-base-classweight) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4369
- F1: 0.7648
- Roc Auc: 0.8466
- Accuracy: 0.400

## 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: 8e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.4054        | 1.0   | 24   | 0.3117          | 0.6802 | 0.7748  | 0.24     |
| 0.2246        | 2.0   | 48   | 0.2869          | 0.7467 | 0.8271  | 0.328    |
| 0.1472        | 3.0   | 72   | 0.2870          | 0.7553 | 0.8281  | 0.368    |
| 0.093         | 4.0   | 96   | 0.4209          | 0.7536 | 0.8401  | 0.304    |
| 0.0575        | 5.0   | 120  | 0.4089          | 0.7589 | 0.8450  | 0.32     |
| 0.036         | 6.0   | 144  | 0.4369          | 0.7648 | 0.8467  | 0.4      |
| 0.026         | 7.0   | 168  | 0.4727          | 0.7579 | 0.8463  | 0.344    |
| 0.0187        | 8.0   | 192  | 0.4631          | 0.7701 | 0.8516  | 0.384    |
| 0.0162        | 9.0   | 216  | 0.4699          | 0.7612 | 0.8443  | 0.36     |
| 0.0141        | 10.0  | 240  | 0.4714          | 0.7626 | 0.8449  | 0.376    |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.3.1.post100
- Datasets 3.2.0
- Tokenizers 0.21.0