---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_random_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_random_function_53

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8501
- Accuracy: 0.2494

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 5.9648        | 1.0   | 6426  | 5.7752          | 0.1790   |
| 5.4131        | 2.0   | 12852 | 5.2875          | 0.2089   |
| 5.1686        | 3.0   | 19278 | 5.1053          | 0.2241   |
| 5.0478        | 4.0   | 25704 | 5.0146          | 0.2328   |
| 4.9577        | 5.0   | 32130 | 4.9593          | 0.2377   |
| 4.8934        | 6.0   | 38556 | 4.9200          | 0.2411   |
| 4.8346        | 7.0   | 44982 | 4.8911          | 0.2447   |
| 4.7873        | 8.0   | 51408 | 4.8704          | 0.2465   |
| 4.7405        | 9.0   | 57834 | 4.8566          | 0.2485   |
| 4.7008        | 10.0  | 64260 | 4.8501          | 0.2494   |


### Framework versions

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