---
base_model: MilaNLProc/feel-it-italian-emotion
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: feel_it_finetuned_pro_multimodal_no_prompt
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# feel_it_finetuned_pro_multimodal_no_prompt

This model is a fine-tuned version of [MilaNLProc/feel-it-italian-emotion](https://huggingface.co/MilaNLProc/feel-it-italian-emotion) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5325
- F1: 0.255
- Roc Auc: 0.5849
- Accuracy: 0.0

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1    | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----:|:-------:|:--------:|
| No log        | 1.0   | 24   | 0.5325          | 0.255 | 0.5849  | 0.0      |
| No log        | 2.0   | 48   | 0.4602          | 0.0   | 0.5     | 0.1031   |
| No log        | 3.0   | 72   | 0.4314          | 0.0   | 0.5     | 0.1031   |
| No log        | 4.0   | 96   | 0.4175          | 0.0   | 0.5     | 0.1031   |
| No log        | 5.0   | 120  | 0.4131          | 0.0   | 0.5     | 0.1031   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2