---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_five_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_five_function_67

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6032
- Accuracy: 0.4048

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.7546        | 1.0   | 6408  | 4.5611          | 0.3264   |
| 4.1827        | 2.0   | 12816 | 4.0567          | 0.3615   |
| 3.9339        | 3.0   | 19224 | 3.8716          | 0.3765   |
| 3.8136        | 4.0   | 25632 | 3.7778          | 0.3857   |
| 3.72          | 5.0   | 32040 | 3.7189          | 0.3916   |
| 3.6514        | 6.0   | 38448 | 3.6762          | 0.3963   |
| 3.5942        | 7.0   | 44856 | 3.6475          | 0.3987   |
| 3.5418        | 8.0   | 51264 | 3.6251          | 0.4025   |
| 3.4961        | 9.0   | 57672 | 3.6103          | 0.4039   |
| 3.4556        | 10.0  | 64080 | 3.6032          | 0.4048   |


### Framework versions

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