---
license: mit
tags:
- generated_from_trainer
model-index:
- name: prompt-extend
  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. -->

# prompt-extend

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: 2.0437

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.3538        | 0.32  | 500  | 4.7231          |
| 4.2863        | 0.64  | 1000 | 3.7473          |
| 3.5828        | 0.96  | 1500 | 3.2410          |
| 3.1699        | 1.28  | 2000 | 2.9410          |
| 2.9123        | 1.6   | 2500 | 2.7295          |
| 2.7413        | 1.92  | 3000 | 2.5568          |
| 2.5181        | 2.24  | 3500 | 2.4281          |
| 2.394         | 2.56  | 4000 | 2.3263          |
| 2.3157        | 2.88  | 4500 | 2.2393          |
| 2.1822        | 3.2   | 5000 | 2.1750          |
| 2.091         | 3.52  | 5500 | 2.1231          |
| 2.0489        | 3.84  | 6000 | 2.0844          |
| 1.9873        | 4.16  | 6500 | 2.0609          |
| 1.9335        | 4.48  | 7000 | 2.0487          |
| 1.9307        | 4.8   | 7500 | 2.0437          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2