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chembert_cased-textCLS-RHEOLOGY – AI Model by jonas-luehrs | AlphaNeural AI
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jonas-luehrs
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chembert_cased-textCLS-RHEOLOGY
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transformers
pytorch
bert
text-classification
generated_from_trainer
jiangg/chembert_cased
finetune
autotrain_compatible
endpoints_compatible
us
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chembert_cased-textCLS-RHEOLOGY
This model is a fine-tuned version of
jiangg/chembert_cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6766
F1: 0.7253
Precision: 0.7446
Recall: 0.7407
Accuracy: 0.7407
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: 32
eval_batch_size: 32
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
1.2479
1.0
46
0.9758
0.6185
0.5919
0.6605
0.6605
0.8039
2.0
92
0.7210
0.7277
0.7472
0.7407
0.7407
0.5982
3.0
138
0.6766
0.7253
0.7446
0.7407
0.7407
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
