---
library_name: transformers
license: mit
base_model: abdeljalilELmajjodi/model
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: emotion_classifier
  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. -->

# emotion_classifier

This model is a fine-tuned version of [abdeljalilELmajjodi/model](https://huggingface.co/abdeljalilELmajjodi/model) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7268
- F1: {'f1': 0.4749679405113014}

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1                          |
|:-------------:|:------:|:----:|:---------------:|:---------------------------:|
| 6.8728        | 0.9950 | 100  | 1.8998          | {'f1': 0.3554471709728371}  |
| 6.545         | 1.9851 | 200  | 1.7557          | {'f1': 0.4311025882104702}  |
| 5.7745        | 2.9751 | 300  | 1.7189          | {'f1': 0.45241170661760866} |
| 5.1439        | 3.9652 | 400  | 1.7268          | {'f1': 0.4629496833729773}  |
| 4.6931        | 4.9552 | 500  | 1.7268          | {'f1': 0.4749679405113014}  |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0