BERT_ep7_lr5_v1

Sarveshj/BERT_ep7_lr5_v1

BERT_ep7_lr5_v1 is a token classification model from Sarveshj. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Model card

From the Hugging Face model README

BERT_ep7_lr5_v1

This model is a fine-tuned version of ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2884
Precision: 0.6752
Recall: 0.6436
F1: 0.6590
Accuracy: 0.9415

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: 5e-09
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	467	0.2972	0.6754	0.6363	0.6553	0.9413
0.2981	2.0	934	0.2939	0.6742	0.6387	0.6560	0.9413
0.2882	3.0	1401	0.2915	0.6747	0.6409	0.6574	0.9414
0.2913	4.0	1868	0.2898	0.6744	0.6422	0.6579	0.9414
0.2852	5.0	2335	0.2889	0.6741	0.6425	0.6579	0.9415
0.2883	6.0	2802	0.2885	0.6752	0.6436	0.6590	0.9415
0.2819	7.0	3269	0.2884	0.6752	0.6436	0.6590	0.9415

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 30, 2023
Updated: Jan 31, 2025