---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_bigram_function_within_boundary_53
  results: []
---

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# GPT2_bigram_function_within_boundary_53

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7494
- Accuracy: 0.3738

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.9279        | 1.0   | 6420  | 4.7262          | 0.2660   |
| 4.3403        | 2.0   | 12840 | 4.2176          | 0.3125   |
| 4.0904        | 3.0   | 19260 | 4.0282          | 0.3363   |
| 3.9677        | 4.0   | 25680 | 3.9280          | 0.3478   |
| 3.8705        | 5.0   | 32100 | 3.8681          | 0.3563   |
| 3.8011        | 6.0   | 38520 | 3.8269          | 0.3618   |
| 3.7431        | 7.0   | 44940 | 3.7945          | 0.3668   |
| 3.6902        | 8.0   | 51360 | 3.7721          | 0.3707   |
| 3.644         | 9.0   | 57780 | 3.7568          | 0.3726   |
| 3.6026        | 10.0  | 64200 | 3.7494          | 0.3738   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.11.0+cu126
- Datasets 4.1.1
- Tokenizers 0.13.3