---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_no_function_67
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# GPT2_no_function_67

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7260
- Accuracy: 0.3103

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 6.3673        | 1.0   | 4702  | 6.0093          | 0.2210   |
| 5.5122        | 2.0   | 9404  | 5.3627          | 0.2531   |
| 5.1637        | 3.0   | 14106 | 5.0803          | 0.2754   |
| 5.0001        | 4.0   | 18808 | 4.9437          | 0.2882   |
| 4.8699        | 5.0   | 23510 | 4.8652          | 0.2950   |
| 4.7738        | 6.0   | 28212 | 4.8127          | 0.3002   |
| 4.6966        | 7.0   | 32914 | 4.7762          | 0.3044   |
| 4.6296        | 8.0   | 37616 | 4.7499          | 0.3069   |
| 4.5712        | 9.0   | 42318 | 4.7333          | 0.3087   |
| 4.5227        | 10.0  | 47020 | 4.7260          | 0.3103   |


### Framework versions

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