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chembert_cased-MLM-chemistry-tokenCLS-CATALYST – AI Model by jonas-luehrs | AlphaNeural AI
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jonas-luehrs
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chembert_cased-MLM-chemistry-tokenCLS-CATALYST
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transformers
pytorch
bert
token-classification
generated_from_trainer
jonas-luehrs/chembert_cased-MLM-chemistry
finetune
autotrain_compatible
endpoints_compatible
us
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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
