---
base_model: lupobricco/feel_it_finetuned_pro_emit_multilabel2
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: multilabel_emotion_classification_finetuned_multimodal
  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. -->

# multilabel_emotion_classification_finetuned_multimodal

This model is a fine-tuned version of [lupobricco/feel_it_finetuned_pro_emit_multilabel2](https://huggingface.co/lupobricco/feel_it_finetuned_pro_emit_multilabel2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2439
- F1: 0.5642
- Roc Auc: 0.7425
- Accuracy: 0.4087

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 22   | 0.2472          | 0.4520 | 0.6658  | 0.3391   |
| No log        | 2.0   | 44   | 0.2445          | 0.4927 | 0.6909  | 0.3507   |
| No log        | 3.0   | 66   | 0.2439          | 0.5    | 0.6941  | 0.3594   |
| No log        | 4.0   | 88   | 0.2436          | 0.5297 | 0.7209  | 0.3652   |
| No log        | 5.0   | 110  | 0.2424          | 0.5400 | 0.7313  | 0.3710   |
| No log        | 6.0   | 132  | 0.2409          | 0.5450 | 0.7276  | 0.3768   |
| No log        | 7.0   | 154  | 0.2432          | 0.5286 | 0.7191  | 0.3652   |
| No log        | 8.0   | 176  | 0.2433          | 0.5501 | 0.7336  | 0.3942   |
| No log        | 9.0   | 198  | 0.2439          | 0.5642 | 0.7425  | 0.4087   |
| No log        | 10.0  | 220  | 0.2434          | 0.5594 | 0.7406  | 0.4029   |


### Framework versions

- Transformers 4.39.3
- Pytorch 1.11.0
- Datasets 2.18.0
- Tokenizers 0.15.2