---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: gutenberg-no-merge-rarity-6p5k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gutenberg-no-merge-rarity-6p5k

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: 4.0791

## 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: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.2206        | 0.58  | 500  | 5.1052          |
| 4.7954        | 1.16  | 1000 | 4.6615          |
| 4.4101        | 1.74  | 1500 | 4.3895          |
| 4.1133        | 2.33  | 2000 | 4.2397          |
| 3.9572        | 2.91  | 2500 | 4.1257          |
| 3.7283        | 3.49  | 3000 | 4.0785          |
| 3.6356        | 4.07  | 3500 | 4.0313          |
| 3.4289        | 4.65  | 4000 | 4.0056          |
| 3.3393        | 5.23  | 4500 | 3.9986          |
| 3.2334        | 5.81  | 5000 | 3.9949          |


### Framework versions

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