---
base_model: MilaNLProc/feel-it-italian-emotion
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: feel_it_finetuned_pro_emit_correlations
  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_emit_correlations

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: 0.3170
- F1: 0.4564
- Roc Auc: 0.6868
- Accuracy: 0.3162

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
| 0.309         | 1.0   | 1037  | 0.2952          | 0.1169 | 0.5394  | 0.2079   |
| 0.2586        | 2.0   | 2074  | 0.2731          | 0.2947 | 0.6109  | 0.2766   |
| 0.2142        | 3.0   | 3111  | 0.2721          | 0.4023 | 0.6552  | 0.3024   |
| 0.1829        | 4.0   | 4148  | 0.2731          | 0.4274 | 0.6637  | 0.3076   |
| 0.1564        | 5.0   | 5185  | 0.2862          | 0.4288 | 0.6700  | 0.3110   |
| 0.1341        | 6.0   | 6222  | 0.3004          | 0.4502 | 0.6826  | 0.3024   |
| 0.1187        | 7.0   | 7259  | 0.3126          | 0.4548 | 0.6892  | 0.3230   |
| 0.1024        | 8.0   | 8296  | 0.3170          | 0.4564 | 0.6868  | 0.3162   |
| 0.0939        | 9.0   | 9333  | 0.3280          | 0.4516 | 0.6874  | 0.3110   |
| 0.0864        | 10.0  | 10370 | 0.3316          | 0.4501 | 0.6873  | 0.3076   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1