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MLMA_biogpt_tuned_1412 – AI Model by wins1502 | AlphaNeural AI
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MLMA_biogpt_tuned_1412
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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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MLMA_biogpt_tuned_1412
This model is a fine-tuned version of
microsoft/biogpt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1566
Precision: 0.4828
Recall: 0.5685
F1: 0.5222
Accuracy: 0.9542
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
0.329
1.0
679
0.1783
0.375
0.5154
0.4341
0.9407
0.1756
2.0
1358
0.1703
0.4751
0.5521
0.5107
0.9520
0.1045
3.0
2037
0.1566
0.4828
0.5685
0.5222
0.9542
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
