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bert-finetuned-ner-clinical-plncmm-large-25 – AI Model by crisU8 | AlphaNeural AI
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crisU8
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bert-finetuned-ner-clinical-plncmm-large-25
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-ner-clinical-plncmm-large-25
This model is a fine-tuned version of
plncmm/beto-clinical-wl-es
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2487
Precision: 0.7372
Recall: 0.8035
F1: 0.7689
Accuracy: 0.9270
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: 3e-05
train_batch_size: 18
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
446
0.2607
0.6701
0.7772
0.7197
0.9113
0.6128
2.0
892
0.2298
0.7266
0.7964
0.7599
0.9254
0.1927
3.0
1338
0.2487
0.7372
0.8035
0.7689
0.9270
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
