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# gpt2_SMILES_bpe_combined_step1_3

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: 0.5978
- Accuracy: 0.8057

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.7137        | 1.0   | 5318  | 0.6793          | 0.7855   |
| 0.6672        | 2.0   | 10636 | 0.6424          | 0.7946   |
| 0.6482        | 3.0   | 15954 | 0.6256          | 0.7988   |
| 0.6359        | 4.0   | 21272 | 0.6159          | 0.8013   |
| 0.628         | 5.0   | 26590 | 0.6094          | 0.8028   |
| 0.6226        | 6.0   | 31908 | 0.6052          | 0.8039   |
| 0.6186        | 7.0   | 37226 | 0.6021          | 0.8046   |
| 0.6158        | 8.0   | 42544 | 0.5998          | 0.8052   |
| 0.6139        | 9.0   | 47862 | 0.5984          | 0.8056   |
| 0.613         | 10.0  | 53180 | 0.5978          | 0.8057   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "gpt2", "model-index": [{"name": "gpt2_SMILES_bpe_combined_step1_3", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us