---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: molgpt_selfies_100mzinc_384width
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# molgpt_selfies_100mzinc_384width

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: 0.5005

## 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: 192
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5000
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.578         | 0.1   | 50000  | 0.5535          |
| 0.5564        | 0.2   | 100000 | 0.5450          |
| 0.5487        | 0.3   | 150000 | 0.5389          |
| 0.5429        | 0.4   | 200000 | 0.5336          |
| 0.5369        | 0.5   | 250000 | 0.5275          |
| 0.5306        | 0.6   | 300000 | 0.5213          |
| 0.5236        | 0.7   | 350000 | 0.5146          |
| 0.5163        | 0.8   | 400000 | 0.5079          |
| 0.5095        | 0.9   | 450000 | 0.5022          |
| 0.5055        | 1.0   | 500000 | 0.5005          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3