---
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: 0.2360
- F1: 0.5623
- Roc Auc: 0.7470
- Accuracy: 0.3913

## 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   | 35   | 0.2273          | 0.5136 | 0.6927  | 0.3188   |
| No log        | 2.0   | 70   | 0.2323          | 0.5474 | 0.7234  | 0.3768   |
| No log        | 3.0   | 105  | 0.2337          | 0.5017 | 0.7033  | 0.3478   |
| No log        | 4.0   | 140  | 0.2330          | 0.5432 | 0.7425  | 0.3623   |
| No log        | 5.0   | 175  | 0.2282          | 0.5592 | 0.7402  | 0.3768   |
| No log        | 6.0   | 210  | 0.2392          | 0.5431 | 0.7365  | 0.3768   |
| No log        | 7.0   | 245  | 0.2357          | 0.5281 | 0.7230  | 0.3551   |
| No log        | 8.0   | 280  | 0.2342          | 0.5526 | 0.7367  | 0.3623   |
| No log        | 9.0   | 315  | 0.2360          | 0.5623 | 0.7470  | 0.3913   |
| No log        | 10.0  | 350  | 0.2348          | 0.5478 | 0.7396  | 0.3768   |


### Framework versions

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