---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: relatives_psr_seq
  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_seq

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: 0.6642
- Precision: 0.5052
- Recall: 0.4082
- F1: 0.4051
- Accuracy: 0.7670

## 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   | 49   | 0.7285          | 0.7125    | 0.3284 | 0.2862 | 0.7611   |
| No log        | 2.0   | 98   | 0.6789          | 0.6397    | 0.3400 | 0.3098 | 0.7685   |
| No log        | 3.0   | 147  | 0.6739          | 0.5247    | 0.3754 | 0.3685 | 0.7672   |
| No log        | 4.0   | 196  | 0.6650          | 0.4600    | 0.3984 | 0.3886 | 0.7555   |
| No log        | 5.0   | 245  | 0.6642          | 0.5052    | 0.4082 | 0.4051 | 0.7670   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1