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dandg – AI Model by zhfanrui | AlphaNeural AI
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dandg
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transformers
safetensors
bert
token-classification
generated_from_trainer
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
finetune
mit
endpoints_compatible
us
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dandg
This model is a fine-tuned version of
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
Precision: 1.0
Recall: 1.0
F1: 1.0
Accuracy: 1.0
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0849
1.0
2242
nan
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1
