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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# relation_detection_textual

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: 0.5247
- F1: 0.6071
- Roc Auc: 0.6769
- Accuracy: 0.5659

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 33   | 0.5783          | 0.2301 | 0.5     | 0.5271   |
| No log        | 2.0   | 66   | 0.5327          | 0.4997 | 0.6312  | 0.5814   |
| No log        | 3.0   | 99   | 0.5276          | 0.5688 | 0.6597  | 0.5969   |
| No log        | 4.0   | 132  | 0.5228          | 0.4610 | 0.6262  | 0.6434   |
| No log        | 5.0   | 165  | 0.5153          | 0.5762 | 0.6594  | 0.6124   |
| No log        | 6.0   | 198  | 0.5153          | 0.5762 | 0.6594  | 0.6124   |
| No log        | 7.0   | 231  | 0.5190          | 0.6032 | 0.6729  | 0.5659   |
| No log        | 8.0   | 264  | 0.5240          | 0.6021 | 0.6728  | 0.5736   |
| No log        | 9.0   | 297  | 0.5247          | 0.6071 | 0.6769  | 0.5659   |
| No log        | 10.0  | 330  | 0.5257          | 0.5924 | 0.6672  | 0.5659   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2