bert-finetuned-ner-clinical-plncmm-11 – AI Model by crisU8 | AlphaNeural AI

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crisU8/
bert-finetuned-ner-clinical-plncmm-11

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-finetuned-ner-clinical-plncmm-11

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: 0.2494
Precision: 0.7577
Recall: 0.8238
F1: 0.7894
Accuracy: 0.9335

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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	429	0.2466	0.6776	0.7728	0.7221	0.9190
0.6369	2.0	858	0.2398	0.7437	0.8156	0.7780	0.9290
0.195	3.0	1287	0.2366	0.7515	0.8150	0.7820	0.9329
0.1223	4.0	1716	0.2494	0.7577	0.8238	0.7894	0.9335

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3