---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_natural_function_42
  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. -->

# GPT2_natural_function_42

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6743
- Accuracy: 0.3760

## 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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.9122        | 1.0   | 6439  | 4.6831          | 0.2912   |
| 4.2912        | 2.0   | 12878 | 4.1456          | 0.3270   |
| 4.0258        | 3.0   | 19317 | 3.9543          | 0.3454   |
| 3.8998        | 4.0   | 25756 | 3.8565          | 0.3544   |
| 3.8025        | 5.0   | 32195 | 3.7955          | 0.3619   |
| 3.7321        | 6.0   | 38634 | 3.7518          | 0.3656   |
| 3.6704        | 7.0   | 45073 | 3.7216          | 0.3702   |
| 3.6185        | 8.0   | 51512 | 3.6979          | 0.3726   |
| 3.5692        | 9.0   | 57951 | 3.6816          | 0.3746   |
| 3.5276        | 10.0  | 64390 | 3.6743          | 0.3760   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3