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gpt2gipgpt-finetuned-ner – AI Model by kwoniris | AlphaNeural AI
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kwoniris
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gpt2gipgpt-finetuned-ner
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transformers
safetensors
gpt2
token-classification
generated_from_trainer
ncbi_disease
microsoft/biogpt
finetune
mit
model-index
text-generation-inference
endpoints_compatible
us
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gpt2gipgpt-finetuned-ner
This model is a fine-tuned version of
microsoft/biogpt
on the ncbi_disease dataset. It achieves the following results on the evaluation set:
Loss: 0.1516
Precision: 0.4178
Recall: 0.5489
F1: 0.4745
Accuracy: 0.9558
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1855
1.0
680
0.1778
0.3077
0.4066
0.3503
0.9440
0.1373
2.0
1360
0.1537
0.3696
0.4790
0.4173
0.9536
0.1274
3.0
2040
0.1516
0.4178
0.5489
0.4745
0.9558
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
