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---
license: apache-2.0
base_model: jonas-luehrs/bert-base-cased-MLM-chemistry
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-cased-MLM-chemistry-tokenCLS-BATTERY
results: []
---
<!-- 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. -->
# bert-base-cased-MLM-chemistry-tokenCLS-BATTERY
This model is a fine-tuned version of [jonas-luehrs/bert-base-cased-MLM-chemistry](https://huggingface.co/jonas-luehrs/bert-base-cased-MLM-chemistry) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0704
- Precision: 0.7487
- Recall: 0.8681
- F1: 0.8040
- Accuracy: 0.9787
## 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 | 0.0852 | 0.6765 | 0.7699 | 0.7202 | 0.9719 |
| 0.1476 | 2.0 | 676 | 0.0677 | 0.7154 | 0.8252 | 0.7664 | 0.9773 |
| 0.0524 | 3.0 | 1014 | 0.0704 | 0.7487 | 0.8681 | 0.8040 | 0.9787 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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