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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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