---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_bigram_function_42
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GPT2_bigram_function_42

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6962
- Accuracy: 0.3568

## 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: 42
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.8903        | 1.0   | 6420  | 4.6814          | 0.2576   |
| 4.2915        | 2.0   | 12840 | 4.1694          | 0.2983   |
| 4.0376        | 3.0   | 19260 | 3.9761          | 0.3206   |
| 3.9123        | 4.0   | 25680 | 3.8770          | 0.3328   |
| 3.8146        | 5.0   | 32100 | 3.8156          | 0.3397   |
| 3.7441        | 6.0   | 38520 | 3.7726          | 0.3458   |
| 3.6835        | 7.0   | 44940 | 3.7412          | 0.3497   |
| 3.6319        | 8.0   | 51360 | 3.7190          | 0.3525   |
| 3.5859        | 9.0   | 57780 | 3.7039          | 0.3555   |
| 3.5463        | 10.0  | 64200 | 3.6962          | 0.3568   |


### Framework versions

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