---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: polynomial_2000_9e-4_32b_w0.08_cased
  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_32b_w0.08_cased

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: 3.1523

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 6.3307        | 1.9203  | 250  | 4.7026          |
| 3.8482        | 3.8406  | 500  | 3.4062          |
| 3.0517        | 5.7609  | 750  | 3.1624          |
| 2.7001        | 7.6812  | 1000 | 3.0874          |
| 2.4363        | 9.6015  | 1250 | 3.0764          |
| 2.2164        | 11.5218 | 1500 | 3.0995          |
| 2.0174        | 13.4422 | 1750 | 3.1357          |
| 1.855         | 15.3625 | 2000 | 3.1523          |


### Framework versions

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