---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_bigram_function_53
  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_53

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6936
- Accuracy: 0.3579

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.8992        | 1.0   | 6420  | 4.6850          | 0.2564   |
| 4.291         | 2.0   | 12840 | 4.1666          | 0.2988   |
| 4.0377        | 3.0   | 19260 | 3.9777          | 0.3204   |
| 3.9117        | 4.0   | 25680 | 3.8764          | 0.3325   |
| 3.813         | 5.0   | 32100 | 3.8146          | 0.3408   |
| 3.7448        | 6.0   | 38520 | 3.7702          | 0.3463   |
| 3.6872        | 7.0   | 44940 | 3.7413          | 0.3504   |
| 3.634         | 8.0   | 51360 | 3.7162          | 0.3537   |
| 3.5866        | 9.0   | 57780 | 3.7015          | 0.3563   |
| 3.5458        | 10.0  | 64200 | 3.6936          | 0.3579   |


### Framework versions

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