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---
base_model: jonas-luehrs/chembert_cased-MLM-chemistry
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
- accuracy
model-index:
- name: chembert_cased-MLM-chemistry-textCLS-PETROCHEMICAL
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. -->
# chembert_cased-MLM-chemistry-textCLS-PETROCHEMICAL
This model is a fine-tuned version of [jonas-luehrs/chembert_cased-MLM-chemistry](https://huggingface.co/jonas-luehrs/chembert_cased-MLM-chemistry) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5883
- F1: 0.7662
- Precision: 0.7616
- Recall: 0.7838
- Accuracy: 0.7838
## 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: 16
- eval_batch_size: 16
- 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 | F1 | Precision | Recall | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
| 1.1285 | 1.0 | 125 | 0.7318 | 0.7165 | 0.7123 | 0.7297 | 0.7297 |
| 0.6049 | 2.0 | 250 | 0.6196 | 0.7524 | 0.7483 | 0.7703 | 0.7703 |
| 0.4449 | 3.0 | 375 | 0.5883 | 0.7662 | 0.7616 | 0.7838 | 0.7838 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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