results2
This model is a fine-tuned version of DeepChem/ChemBERTa-77M-MTR on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.2201
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: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2781 | 1.0 | 671 | 5.2674 |
| 5.259 | 2.0 | 1342 | 5.2066 |
| 5.1316 | 3.0 | 2013 | 5.0585 |
| 4.9743 | 4.0 | 2684 | 4.7316 |
| 4.7413 | 5.0 | 3355 | 4.4416 |
| 4.5042 | 6.0 | 4026 | 4.3289 |
| 4.4567 | 7.0 | 4697 | 4.2736 |
| 4.4302 | 8.0 | 5368 | 4.2420 |
| 4.406 | 9.0 | 6039 | 4.2255 |
| 4.4009 | 10.0 | 6710 | 4.2201 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
DeepChem/ChemBERTa-77M-MTR