metadata

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: []

chembert_cased-MLM-chemistry-textCLS-PETROCHEMICAL

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: 0.5883
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