---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: relatives_psr
  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. -->

# relatives_psr

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0554
- Precision: 0.7125
- Recall: 0.4765
- F1: 0.4668
- Accuracy: 0.9791

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 44   | 0.0591          | 0.8332    | 0.4040 | 0.3670 | 0.9764   |
| No log        | 2.0   | 88   | 0.0541          | 0.7191    | 0.4742 | 0.4308 | 0.9788   |
| No log        | 3.0   | 132  | 0.0562          | 0.7176    | 0.4238 | 0.4357 | 0.9776   |
| No log        | 4.0   | 176  | 0.0544          | 0.7158    | 0.4467 | 0.4316 | 0.9794   |
| No log        | 5.0   | 220  | 0.0554          | 0.7125    | 0.4765 | 0.4668 | 0.9791   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1