---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_random_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_random_function_67

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8521
- Accuracy: 0.2485

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 5.9638        | 1.0   | 6426  | 5.7731          | 0.1802   |
| 5.4117        | 2.0   | 12852 | 5.2853          | 0.2093   |
| 5.1712        | 3.0   | 19278 | 5.1077          | 0.2239   |
| 5.0518        | 4.0   | 25704 | 5.0164          | 0.2307   |
| 4.9598        | 5.0   | 32130 | 4.9591          | 0.2361   |
| 4.8949        | 6.0   | 38556 | 4.9221          | 0.2403   |
| 4.8367        | 7.0   | 44982 | 4.8928          | 0.2431   |
| 4.7866        | 8.0   | 51408 | 4.8736          | 0.2459   |
| 4.7426        | 9.0   | 57834 | 4.8575          | 0.2472   |
| 4.7034        | 10.0  | 64260 | 4.8521          | 0.2485   |


### Framework versions

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