---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: all-base5
  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. -->

# all-base5

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0357

## 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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.3501        | 0.29  | 500   | 5.3140          |
| 5.0366        | 0.58  | 1000  | 4.8996          |
| 4.7014        | 0.87  | 1500  | 4.6570          |
| 4.4484        | 1.16  | 2000  | 4.5100          |
| 4.2883        | 1.45  | 2500  | 4.3964          |
| 4.1912        | 1.74  | 3000  | 4.2890          |
| 4.0845        | 2.02  | 3500  | 4.2065          |
| 3.8854        | 2.31  | 4000  | 4.1673          |
| 3.8583        | 2.6   | 4500  | 4.1114          |
| 3.816         | 2.89  | 5000  | 4.0592          |
| 3.6485        | 3.18  | 5500  | 4.0531          |
| 3.5744        | 3.47  | 6000  | 4.0243          |
| 3.5619        | 3.76  | 6500  | 3.9912          |
| 3.4959        | 4.05  | 7000  | 3.9799          |
| 3.3058        | 4.34  | 7500  | 3.9807          |
| 3.2993        | 4.63  | 8000  | 3.9659          |
| 3.2879        | 4.92  | 8500  | 3.9544          |
| 3.1683        | 5.21  | 9000  | 3.9630          |
| 3.1172        | 5.49  | 9500  | 3.9624          |
| 3.118         | 5.78  | 10000 | 3.9614          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3