---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: all-base-len
  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-base-len

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: 4.8452

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.4465        | 0.31  | 500  | 5.5455          |
| 5.1194        | 0.62  | 1000 | 5.1702          |
| 4.7736        | 0.94  | 1500 | 5.0228          |
| 4.5064        | 1.25  | 2000 | 4.9752          |
| 4.3839        | 1.56  | 2500 | 4.8636          |
| 4.2864        | 1.87  | 3000 | 4.7875          |
| 4.1137        | 2.19  | 3500 | 4.7734          |
| 4.0249        | 2.5   | 4000 | 4.7316          |
| 3.9841        | 2.81  | 4500 | 4.7210          |
| 3.8607        | 3.12  | 5000 | 4.7148          |
| 3.7214        | 3.44  | 5500 | 4.7177          |
| 3.7078        | 3.75  | 6000 | 4.6981          |
| 3.6456        | 4.06  | 6500 | 4.7174          |
| 3.4475        | 4.37  | 7000 | 4.7426          |
| 3.4411        | 4.68  | 7500 | 4.7503          |
| 3.4265        | 5.0   | 8000 | 4.7376          |
| 3.2581        | 5.31  | 8500 | 4.7947          |
| 3.2567        | 5.62  | 9000 | 4.7966          |
| 3.2505        | 5.93  | 9500 | 4.7984          |


### Framework versions

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