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roberta-clinical-wl-es-finetuned-ner – AI Model by mrojas | AlphaNeural AI
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mrojas
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roberta-clinical-wl-es-finetuned-ner
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transformers
pytorch
tensorboard
roberta
token-classification
generated_from_trainer
wl
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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roberta-clinical-wl-es-finetuned-ner
This model is a fine-tuned version of
plncmm/roberta-clinical-wl-es
on the wl dataset. It achieves the following results on the evaluation set:
Loss: 0.6227
Precision: 0.6865
Recall: 0.7355
F1: 0.7102
Accuracy: 0.8268
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
1.028
1.0
500
0.6870
0.6558
0.6855
0.6703
0.8035
0.5923
2.0
1000
0.6248
0.6851
0.7235
0.7038
0.8244
0.4928
3.0
1500
0.6227
0.6865
0.7355
0.7102
0.8268
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2
