molgpt_selfies_100mzinc_384width
This model is a fine-tuned version of 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
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Base model
openai-community/gpt2