---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: polynomial_2000_9e-4_16b_w0.075
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# polynomial_2000_9e-4_16b_w0.075

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: 2.8132

## 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: polynomial
- lr_scheduler_warmup_steps: 250
- training_steps: 2000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.5244        | 0.8234 | 250  | 3.4016          |
| 3.1742        | 1.6468 | 500  | 3.1288          |
| 2.9037        | 2.4702 | 750  | 2.9918          |
| 2.7072        | 3.2935 | 1000 | 2.9131          |
| 2.5479        | 4.1169 | 1250 | 2.8668          |
| 2.3946        | 4.9403 | 1500 | 2.8252          |
| 2.2317        | 5.7637 | 1750 | 2.8147          |
| 2.1172        | 6.5871 | 2000 | 2.8132          |


### Framework versions

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