---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_five_function_within_boundary_53
  results: []
---

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# GPT2_five_function_within_boundary_53

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6819
- Accuracy: 0.3937

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.8403        | 1.0   | 6408  | 4.6563          | 0.3079   |
| 4.2687        | 2.0   | 12816 | 4.1422          | 0.3458   |
| 4.016         | 3.0   | 19224 | 3.9519          | 0.3632   |
| 3.8939        | 4.0   | 25632 | 3.8525          | 0.3735   |
| 3.8002        | 5.0   | 32040 | 3.7941          | 0.3787   |
| 3.7294        | 6.0   | 38448 | 3.7532          | 0.3843   |
| 3.6702        | 7.0   | 44856 | 3.7277          | 0.3876   |
| 3.6188        | 8.0   | 51264 | 3.7051          | 0.3901   |
| 3.5761        | 9.0   | 57672 | 3.6879          | 0.3927   |
| 3.5318        | 10.0  | 64080 | 3.6819          | 0.3937   |


### Framework versions

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