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-BATTERY
results: []
chembert_cased-MLM-chemistry-tokenCLS-BATTERY
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: 0.0659
- Precision: 0.6898
- Recall: 0.8528
- F1: 0.7627
- Accuracy: 0.9771
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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 338 | 0.0783 | 0.6913 | 0.7761 | 0.7312 | 0.9728 |
| 0.1439 | 2.0 | 676 | 0.0633 | 0.6970 | 0.8466 | 0.7645 | 0.9762 |
| 0.0491 | 3.0 | 1014 | 0.0659 | 0.6898 | 0.8528 | 0.7627 | 0.9771 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3