---
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gp2_basemodel_v10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gp2_basemodel_v10

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0581

## 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: 0.0005
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 7

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.6393        | 0.9050 | 50   | 5.3195          |
| 4.3822        | 1.8100 | 100  | 5.2026          |
| 4.1742        | 2.7149 | 150  | 5.1256          |
| 4.0114        | 3.6199 | 200  | 5.0652          |
| 3.8758        | 4.5249 | 250  | 5.0247          |
| 3.7629        | 5.4299 | 300  | 5.0265          |
| 3.6674        | 6.3348 | 350  | 5.0581          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0