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saransh_biogpt – AI Model by saransharora96 | AlphaNeural AI
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saransh_biogpt
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transformers
pytorch
tensorboard
gpt2
token-classification
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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saransh_biogpt
This model is a fine-tuned version of
microsoft/biogpt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2022
Precision: 0.3780
Recall: 0.4015
F1: 0.3894
Accuracy: 0.9409
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
0.3116
1.0
679
0.2155
0.2667
0.3139
0.2884
0.9330
0.2212
2.0
1358
0.1951
0.3385
0.3355
0.3369
0.9396
0.1687
3.0
2037
0.2022
0.3780
0.4015
0.3894
0.9409
Framework versions
Transformers 4.29.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
