---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_natural_function_67
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GPT2_natural_function_67

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6758
- Accuracy: 0.3762

## 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: 67
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.9145        | 1.0   | 6439  | 4.6882          | 0.2902   |
| 4.2877        | 2.0   | 12878 | 4.1479          | 0.3278   |
| 4.0279        | 3.0   | 19317 | 3.9541          | 0.3454   |
| 3.9003        | 4.0   | 25756 | 3.8561          | 0.3553   |
| 3.8034        | 5.0   | 32195 | 3.7953          | 0.3616   |
| 3.731         | 6.0   | 38634 | 3.7539          | 0.3663   |
| 3.6709        | 7.0   | 45073 | 3.7236          | 0.3700   |
| 3.6162        | 8.0   | 51512 | 3.7010          | 0.3734   |
| 3.5698        | 9.0   | 57951 | 3.6846          | 0.3751   |
| 3.5258        | 10.0  | 64390 | 3.6758          | 0.3762   |


### Framework versions

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