---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: polynomial_1450_7e-4_16b_w0.075
  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. -->

# polynomial_1450_7e-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: 3.0229

## 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: 0.0007
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 250
- training_steps: 1450

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 9.0635        | 0.1029 | 50   | 7.2772          |
| 6.7176        | 0.2058 | 100  | 6.2557          |
| 6.0147        | 0.3088 | 150  | 5.7199          |
| 5.5539        | 0.4117 | 200  | 5.3464          |
| 5.2292        | 0.5146 | 250  | 5.0625          |
| 4.9374        | 0.6175 | 300  | 4.7728          |
| 4.6985        | 0.7205 | 350  | 4.5613          |
| 4.4993        | 0.8234 | 400  | 4.3770          |
| 4.3227        | 0.9263 | 450  | 4.1914          |
| 4.1342        | 1.0292 | 500  | 4.0022          |
| 3.8927        | 1.1322 | 550  | 3.8166          |
| 3.757         | 1.2351 | 600  | 3.6654          |
| 3.6277        | 1.3380 | 650  | 3.5614          |
| 3.5379        | 1.4409 | 700  | 3.4772          |
| 3.4642        | 1.5438 | 750  | 3.4076          |
| 3.395         | 1.6468 | 800  | 3.3542          |
| 3.3287        | 1.7497 | 850  | 3.3034          |
| 3.2872        | 1.8526 | 900  | 3.2609          |
| 3.2545        | 1.9555 | 950  | 3.2268          |
| 3.1229        | 2.0585 | 1000 | 3.1925          |
| 3.0573        | 2.1614 | 1050 | 3.1616          |
| 3.0339        | 2.2643 | 1100 | 3.1372          |
| 3.0204        | 2.3672 | 1150 | 3.1133          |
| 2.99          | 2.4702 | 1200 | 3.0949          |
| 2.9809        | 2.5731 | 1250 | 3.0720          |
| 2.9524        | 2.6760 | 1300 | 3.0536          |
| 2.9267        | 2.7789 | 1350 | 3.0392          |
| 2.9453        | 2.8818 | 1400 | 3.0295          |
| 2.93          | 2.9848 | 1450 | 3.0229          |


### Framework versions

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