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text_classification_model – AI Model by DifeiT | AlphaNeural AI
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text_classification_model
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transformers
safetensors
bert
text-classification
generated_from_trainer
dmis-lab/biobert-v1.1
finetune
autotrain_compatible
endpoints_compatible
us
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text_classification_model
This model is a fine-tuned version of
dmis-lab/biobert-v1.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5013
Accuracy: 0.8046
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
22
0.5339
0.7586
No log
2.0
44
0.5013
0.8046
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu118
Datasets 2.16.1
Tokenizers 0.15.1
