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molgenscuffed_broken_molgptlike
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5715
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: 0.0004
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1883 | 0.2 | 1000 | 0.8841 |
| 0.8394 | 0.4 | 2000 | 0.7709 |
| 0.7627 | 0.6 | 3000 | 0.7187 |
| 0.7191 | 0.8 | 4000 | 0.6829 |
| 0.6841 | 1.01 | 5000 | 0.6522 |
| 0.6497 | 1.21 | 6000 | 0.6250 |
| 0.6254 | 1.41 | 7000 | 0.6005 |
| 0.6038 | 1.61 | 8000 | 0.5819 |
| 0.5893 | 1.81 | 9000 | 0.5715 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
