ChemBERTa-zinc-base-v1-finetuned-tchard
This model is a fine-tuned version of seyonec/ChemBERTa-zinc-base-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0402
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1140 | 0.1824 |
| 0.7769 | 2.0 | 2280 | 0.0526 |
| 0.0926 | 3.0 | 3420 | 0.0407 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
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Model tree for yiminghuang47/ChemBERTa-zinc-base-v1-finetuned-tchard
Base model
seyonec/ChemBERTa-zinc-base-v1