---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_more_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_more_function_67

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3501
- Accuracy: 0.2680

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 5.634         | 1.0   | 6417  | 5.4033          | 0.1902   |
| 4.9862        | 2.0   | 12834 | 4.8415          | 0.2243   |
| 4.7151        | 3.0   | 19251 | 4.6391          | 0.2410   |
| 4.5832        | 4.0   | 25668 | 4.5397          | 0.2486   |
| 4.4844        | 5.0   | 32085 | 4.4759          | 0.2552   |
| 4.4117        | 6.0   | 38502 | 4.4317          | 0.2589   |
| 4.3505        | 7.0   | 44919 | 4.4006          | 0.2628   |
| 4.2941        | 8.0   | 51336 | 4.3753          | 0.2652   |
| 4.2479        | 9.0   | 57753 | 4.3582          | 0.2669   |
| 4.2036        | 10.0  | 64170 | 4.3501          | 0.2680   |


### Framework versions

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