---
base_model: Musixmatch/umberto-wikipedia-uncased-v1
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: umberto-wikipedia-uncased-v1
  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

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: 0.4643
- F1: 0.6160

## 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: 128
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5923        | 0.33  | 20   | 0.6075          | 0.2974 |
| 0.6694        | 0.67  | 40   | 0.5938          | 0.2974 |
| 0.5225        | 1.0   | 60   | 0.5346          | 0.3024 |
| 0.5458        | 1.33  | 80   | 0.5172          | 0.4682 |
| 0.5052        | 1.67  | 100  | 0.5550          | 0.4361 |
| 0.3689        | 2.0   | 120  | 0.5188          | 0.4395 |
| 0.4097        | 2.33  | 140  | 0.4918          | 0.4676 |
| 0.4904        | 2.67  | 160  | 0.4756          | 0.4640 |
| 0.3696        | 3.0   | 180  | 0.4788          | 0.4688 |
| 0.3631        | 3.33  | 200  | 0.4751          | 0.4735 |
| 0.4345        | 3.67  | 220  | 0.4609          | 0.4797 |
| 0.3398        | 4.0   | 240  | 0.4637          | 0.5673 |
| 0.2985        | 4.33  | 260  | 0.4850          | 0.5092 |
| 0.3248        | 4.67  | 280  | 0.5089          | 0.6057 |
| 0.3323        | 5.0   | 300  | 0.4643          | 0.6160 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.1.0.dev20230628+cu121
- Datasets 2.14.5
- Tokenizers 0.14.0