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biogpt-custom-ADR – AI Model by aprilyan | AlphaNeural AI
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aprilyan
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biogpt-custom-ADR
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transformers
tensorboard
safetensors
gpt2
token-classification
generated_from_trainer
microsoft/biogpt
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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biogpt-custom-ADR
This model is a fine-tuned version of
microsoft/biogpt
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2017
Precision: 0.4480
Recall: 0.3880
F1: 0.4158
Accuracy: 0.9303
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
0.2905
1.0
596
0.2391
0.2939
0.3406
0.3156
0.9140
0.2044
2.0
1192
0.2040
0.4877
0.2923
0.3655
0.9293
0.1723
3.0
1788
0.2017
0.4480
0.3880
0.4158
0.9303
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
