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results – AI Model by SweetZiyi | AlphaNeural AI

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SweetZiyi/
results

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token-classification

generated_from_trainer

microsoft/biogpt

autotrain_compatible

text-generation-inference

endpoints_compatible

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results

This model is a fine-tuned version of microsoft/biogpt on an unknown dataset. It achieves the following results on the evaluation set:

eval_precision: 0.4837
eval_recall: 0.5349
eval_f1: 0.5080
eval_accuracy: 0.9438
eval_loss: 0.1802
eval_runtime: 14.3435
eval_samples_per_second: 65.605
eval_steps_per_second: 1.046
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: 5e-05
train_batch_size: 8
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2