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BERT-finetuned-ner-pablo-classifier-then-full-model – AI Model by pabRomero | AlphaNeural AI
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pabRomero
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BERT-finetuned-ner-pablo-classifier-then-full-model
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safetensors
bert
generated_from_trainer
pabRomero/BERT-finetuned-ner-pablo-just-classifier
finetune
apache-2.0
us
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BERT-finetuned-ner-pablo-classifier-then-full-model
This model is a fine-tuned version of
pabRomero/BERT-finetuned-ner-pablo-just-classifier
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1088
Precision: 0.8067
Recall: 0.8050
F1: 0.8058
Accuracy: 0.9711
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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1467
0.9996
652
0.1055
0.8107
0.7464
0.7772
0.9691
0.0889
1.9992
1304
0.1018
0.8135
0.7834
0.7982
0.9715
0.0617
2.9989
1956
0.1088
0.8067
0.8050
0.8058
0.9711
Framework versions
Transformers 4.44.0
Pytorch 2.4.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1
