---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: polynomial_1450_8e-4
  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_8e-4

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: 2.8482

## 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: 40
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 400
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 250
- training_steps: 1450
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 9.0241        | 0.2573 | 50   | 7.1979          |
| 6.5847        | 0.5147 | 100  | 6.0647          |
| 5.7978        | 0.7720 | 150  | 5.4606          |
| 5.2827        | 1.0293 | 200  | 5.0281          |
| 4.8587        | 1.2867 | 250  | 4.6639          |
| 4.5089        | 1.5440 | 300  | 4.3212          |
| 4.1969        | 1.8013 | 350  | 4.0343          |
| 3.8907        | 2.0587 | 400  | 3.7044          |
| 3.5806        | 2.3160 | 450  | 3.5024          |
| 3.4326        | 2.5733 | 500  | 3.3742          |
| 3.312         | 2.8307 | 550  | 3.2756          |
| 3.2081        | 3.0880 | 600  | 3.2094          |
| 3.0667        | 3.3453 | 650  | 3.1524          |
| 3.0244        | 3.6027 | 700  | 3.1068          |
| 3.0115        | 3.8600 | 750  | 3.0626          |
| 2.896         | 4.1173 | 800  | 3.0297          |
| 2.8202        | 4.3747 | 850  | 3.0073          |
| 2.8021        | 4.6320 | 900  | 2.9799          |
| 2.7938        | 4.8893 | 950  | 2.9512          |
| 2.7011        | 5.1467 | 1000 | 2.9363          |
| 2.6331        | 5.4040 | 1050 | 2.9229          |
| 2.6313        | 5.6613 | 1100 | 2.9034          |
| 2.6277        | 5.9187 | 1150 | 2.8887          |
| 2.5224        | 6.1760 | 1200 | 2.8811          |
| 2.4908        | 6.4334 | 1250 | 2.8728          |
| 2.4928        | 6.6907 | 1300 | 2.8609          |
| 2.4871        | 6.9480 | 1350 | 2.8522          |
| 2.4013        | 7.2054 | 1400 | 2.8514          |
| 2.3854        | 7.4627 | 1450 | 2.8482          |


### Framework versions

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