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# ChemBERTa-77M-MLM-finetuned-bace

This model is a fine-tuned version of [DeepChem/ChemBERTa-77M-MLM](https://huggingface.co/DeepChem/ChemBERTa-77M-MLM) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0592

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 152  | 0.1396          |
| No log        | 2.0   | 304  | 0.1761          |
| No log        | 3.0   | 456  | 0.1527          |
| 0.2304        | 4.0   | 608  | 0.1260          |
| 0.2304        | 5.0   | 760  | 0.1307          |
| 0.2304        | 6.0   | 912  | 0.1256          |
| 0.178         | 7.0   | 1064 | 0.1016          |
| 0.178         | 8.0   | 1216 | 0.0890          |
| 0.178         | 9.0   | 1368 | 0.1486          |
| 0.1588        | 10.0  | 1520 | 0.1047          |
| 0.1588        | 11.0  | 1672 | 0.1072          |
| 0.1588        | 12.0  | 1824 | 0.1336          |
| 0.1588        | 13.0  | 1976 | 0.0955          |
| 0.1473        | 14.0  | 2128 | 0.0946          |
| 0.1473        | 15.0  | 2280 | 0.0940          |
| 0.1473        | 16.0  | 2432 | 0.0756          |
| 0.1415        | 17.0  | 2584 | 0.1275          |
| 0.1415        | 18.0  | 2736 | 0.1175          |
| 0.1415        | 19.0  | 2888 | 0.0743          |
| 0.1237        | 20.0  | 3040 | 0.0811          |
| 0.1237        | 21.0  | 3192 | 0.1033          |
| 0.1237        | 22.0  | 3344 | 0.0877          |
| 0.1237        | 23.0  | 3496 | 0.0835          |
| 0.1254        | 24.0  | 3648 | 0.1107          |
| 0.1254        | 25.0  | 3800 | 0.1098          |
| 0.1254        | 26.0  | 3952 | 0.1138          |
| 0.1238        | 27.0  | 4104 | 0.0896          |
| 0.1238        | 28.0  | 4256 | 0.0923          |
| 0.1238        | 29.0  | 4408 | 0.1019          |
| 0.1161        | 30.0  | 4560 | 0.1115          |
| 0.1161        | 31.0  | 4712 | 0.0716          |
| 0.1161        | 32.0  | 4864 | 0.1300          |
| 0.114         | 33.0  | 5016 | 0.1017          |
| 0.114         | 34.0  | 5168 | 0.0922          |
| 0.114         | 35.0  | 5320 | 0.0458          |
| 0.114         | 36.0  | 5472 | 0.1335          |
| 0.1116        | 37.0  | 5624 | 0.0924          |
| 0.1116        | 38.0  | 5776 | 0.0828          |
| 0.1116        | 39.0  | 5928 | 0.0857          |
| 0.1082        | 40.0  | 6080 | 0.0847          |
| 0.1082        | 41.0  | 6232 | 0.0629          |
| 0.1082        | 42.0  | 6384 | 0.0685          |
| 0.11          | 43.0  | 6536 | 0.0918          |
| 0.11          | 44.0  | 6688 | 0.0829          |
| 0.11          | 45.0  | 6840 | 0.1118          |
| 0.11          | 46.0  | 6992 | 0.0561          |
| 0.1041        | 47.0  | 7144 | 0.0834          |
| 0.1041        | 48.0  | 7296 | 0.0940          |
| 0.1041        | 49.0  | 7448 | 0.1024          |
| 0.1103        | 50.0  | 7600 | 0.0809          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "base_model": "DeepChem/ChemBERTa-77M-MLM", "model-index": [{"name": "ChemBERTa-77M-MLM-finetuned-bace", "results": []}]}
transformers tensorboard safetensors roberta fill-mask generated_from_trainer base_model:DeepChem/ChemBERTa-77M-MLM autotrain_compatible endpoints_compatible region:us