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ChemBERTa-77M-MLM-finetuned-4M
HassanCS/ChemBERTa-77M-MLM-finetuned-4M
ChemBERTa-77M-MLM-finetuned-4M is a fill-mask model from HassanCS. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 29, 2023
- Updated
- May 29, 2023
- SHA
- e1513f3c
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ChemBERTa-77M-MLM-finetuned-4M
This model is a fine-tuned version of DeepChem/ChemBERTa-77M-MLM on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4601
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.5648 | 1.0 | 61007 | 0.5632 |
| 0.4649 | 2.0 | 122014 | 0.4801 |
| 0.4338 | 3.0 | 183021 | 0.4601 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- May 29, 2023
- Updated
- May 29, 2023