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model_folder – AI Model by ishdev10 | AlphaNeural AI | AlphaNeural AI
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transformers
tensorboard
safetensors
gpt2
token-classification
generated_from_trainer
ncbi_disease
microsoft/biogpt
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
microsoft/biogpt
on the ncbi_disease dataset. It achieves the following results on the evaluation set:
eval_loss: 1.6682
eval_model_preparation_time: 0.0035
eval_precision: 0.0217
eval_recall: 0.3078
eval_f1: 0.0405
eval_accuracy: 0.0532
eval_runtime: 40.9733
eval_samples_per_second: 22.966
eval_steps_per_second: 2.88
step: 0
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Framework versions
Transformers 4.51.0
Pytorch 2.1.0+cu121
Datasets 3.5.0
Tokenizers 0.21.1
