---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: constant_with_warmup_2000_9e-4_16b_w0.08
  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. -->

# constant_with_warmup_2000_9e-4_16b_w0.08

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: 2.8710

## 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: 0.0009
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 250
- training_steps: 2000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 6.293         | 0.7930 | 250  | 4.7425          |
| 4.0889        | 1.5860 | 500  | 3.5180          |
| 3.2871        | 2.3791 | 750  | 3.1743          |
| 3.0032        | 3.1721 | 1000 | 3.0286          |
| 2.8278        | 3.9651 | 1250 | 2.9422          |
| 2.6539        | 4.7581 | 1500 | 2.9041          |
| 2.5482        | 5.5511 | 1750 | 2.8808          |
| 2.4602        | 6.3442 | 2000 | 2.8710          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1