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bert-biobert2 – AI Model by stivenacua17 | AlphaNeural AI
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stivenacua17
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bert-biobert2
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transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
biobert_json
google-bert/bert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-biobert2
This model is a fine-tuned version of
bert-base-uncased
on the biobert_json dataset. It achieves the following results on the evaluation set:
Loss: 0.1128
Precision: 0.9261
Recall: 0.9658
F1: 0.9455
Accuracy: 0.9716
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: 16
eval_batch_size: 16
seed: 42
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.4693
1.0
612
0.1290
0.9206
0.9524
0.9362
0.9675
0.1562
2.0
1224
0.1128
0.9261
0.9658
0.9455
0.9716
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
