---
base_model: Musixmatch/umberto-commoncrawl-cased-v1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: relation_classification_single_label_correlations
  results: []
---

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# relation_classification_single_label_correlations

This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8244
- Accuracy: 0.7209
- F1: 0.7003

## 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 | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 121  | 0.7878          | 0.6279   | 0.6332 |
| No log        | 2.0   | 242  | 0.8169          | 0.6822   | 0.6664 |
| No log        | 3.0   | 363  | 0.8244          | 0.7209   | 0.7003 |
| No log        | 4.0   | 484  | 0.9999          | 0.6977   | 0.6898 |
| 0.5583        | 5.0   | 605  | 1.2330          | 0.6744   | 0.6372 |
| 0.5583        | 6.0   | 726  | 1.4526          | 0.6434   | 0.5751 |
| 0.5583        | 7.0   | 847  | 1.5028          | 0.6434   | 0.5853 |
| 0.5583        | 8.0   | 968  | 1.6308          | 0.6512   | 0.6008 |
| 0.1534        | 9.0   | 1089 | 1.7342          | 0.6434   | 0.5817 |
| 0.1534        | 10.0  | 1210 | 1.7693          | 0.6512   | 0.5468 |


### Framework versions

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