---
library_name: transformers
base_model: Musixmatch/umberto-wikipedia-uncased-v1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: umberto-wikipedia-uncased-v1-finetuned-emotions
  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. -->

# umberto-wikipedia-uncased-v1-finetuned-emotions

This model is a fine-tuned version of [Musixmatch/umberto-wikipedia-uncased-v1](https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7553
- Accuracy: 0.5644
- F1: 0.5295

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 29   | 1.7744          | 0.1994   | 0.1058 |
| No log        | 2.0   | 58   | 1.7553          | 0.5644   | 0.5295 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1