---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_five_function_random_function_53
  results: []
---

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# GPT2_five_function_random_function_53

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0209
- Accuracy: 0.2681

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 5.114         | 1.0   | 6407  | 4.9375          | 0.1981   |
| 4.569         | 2.0   | 12814 | 4.4524          | 0.2293   |
| 4.3333        | 3.0   | 19221 | 4.2776          | 0.2426   |
| 4.2155        | 4.0   | 25628 | 4.1866          | 0.2511   |
| 4.1267        | 5.0   | 32035 | 4.1294          | 0.2558   |
| 4.0604        | 6.0   | 38442 | 4.0915          | 0.2598   |
| 4.0046        | 7.0   | 44849 | 4.0633          | 0.2623   |
| 3.9522        | 8.0   | 51256 | 4.0421          | 0.2650   |
| 3.9091        | 9.0   | 57663 | 4.0274          | 0.2675   |
| 3.8682        | 10.0  | 64070 | 4.0209          | 0.2681   |


### Framework versions

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