metadata
base_model: jonas-luehrs/chembert_cased-MLM-chemistry
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: chembert_cased-MLM-chemistry-tokenCLS-CATALYST
results: []
chembert_cased-MLM-chemistry-tokenCLS-CATALYST
This model is a fine-tuned version of jonas-luehrs/chembert_cased-MLM-chemistry on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0604
- Precision: 0.6774
- Recall: 0.8522
- F1: 0.7548
- Accuracy: 0.9788
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0829 | 1.0 | 1114 | 0.0814 | 0.5368 | 0.7826 | 0.6368 | 0.9707 |
| 0.0556 | 2.0 | 2228 | 0.0763 | 0.6197 | 0.8928 | 0.7316 | 0.9771 |
| 0.045 | 3.0 | 3342 | 0.0604 | 0.6774 | 0.8522 | 0.7548 | 0.9788 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3