---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_more_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_more_function_53

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9183
- Accuracy: 0.5679

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 2.297         | 1.0   | 15568  | 2.2407          | 0.5113   |
| 2.1414        | 2.0   | 31136  | 2.1019          | 0.5349   |
| 2.0769        | 3.0   | 46704  | 2.0458          | 0.5440   |
| 2.0352        | 4.0   | 62272  | 2.0085          | 0.5512   |
| 2.0034        | 5.0   | 77840  | 1.9856          | 0.5555   |
| 1.9762        | 6.0   | 93408  | 1.9654          | 0.5584   |
| 1.9536        | 7.0   | 108976 | 1.9493          | 0.5618   |
| 1.9281        | 8.0   | 124544 | 1.9358          | 0.5642   |
| 1.9065        | 9.0   | 140112 | 1.9251          | 0.5664   |
| 1.8871        | 10.0  | 155680 | 1.9183          | 0.5679   |


### Framework versions

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