---
base_model: jerteh/gpt2-orao
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTPOS4
  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. -->

# SRGPTSENTPOS4

This model is a fine-tuned version of [jerteh/gpt2-orao](https://huggingface.co/jerteh/gpt2-orao) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1738
- F1: 0.2769

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.114         | 1.0   | 2703  | 0.0967          | 0.0    |
| 0.0938        | 2.0   | 5406  | 0.1364          | 0.0    |
| 0.1035        | 3.0   | 8109  | 0.1487          | 0.1111 |
| 0.0906        | 4.0   | 10812 | 0.1429          | 0.2558 |
| 0.0575        | 5.0   | 13515 | 0.2198          | 0.2388 |
| 0.0369        | 6.0   | 16218 | 0.1617          | 0.2817 |
| 0.034         | 7.0   | 18921 | 0.1834          | 0.1935 |
| 0.0126        | 8.0   | 21624 | 0.1738          | 0.2769 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.2.0.dev20230928
- Datasets 2.14.2
- Tokenizers 0.13.3