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biogpt – AI Model by ywu289 | AlphaNeural AI
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ywu289
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biogpt
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transformers
tensorboard
safetensors
gpt2
token-classification
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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biogpt
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1404
Precision: 0.4590
Recall: 0.5400
F1: 0.4962
Accuracy: 0.9579
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
0.3225
1.0
679
0.1673
0.3285
0.4041
0.3624
0.9473
0.1696
2.0
1358
0.1510
0.4053
0.5464
0.4654
0.9532
0.0986
3.0
2037
0.1404
0.4590
0.5400
0.4962
0.9579
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
