---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_natural_function_53
  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_53

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7165
- Accuracy: 0.3685

## 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: 53
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.9681        | 1.0   | 6422  | 4.7441          | 0.2809   |
| 4.3361        | 2.0   | 12844 | 4.1924          | 0.3208   |
| 4.0681        | 3.0   | 19266 | 4.0019          | 0.3379   |
| 3.9431        | 4.0   | 25688 | 3.9031          | 0.3468   |
| 3.8435        | 5.0   | 32110 | 3.8400          | 0.3539   |
| 3.7716        | 6.0   | 38532 | 3.7953          | 0.3586   |
| 3.7115        | 7.0   | 44954 | 3.7655          | 0.3618   |
| 3.6569        | 8.0   | 51376 | 3.7415          | 0.3647   |
| 3.6087        | 9.0   | 57798 | 3.7231          | 0.3674   |
| 3.5685        | 10.0  | 64220 | 3.7165          | 0.3685   |


### Framework versions

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