BERT_ep8_lr4

Sarveshj/BERT_ep8_lr4

BERT_ep8_lr4 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

348

Public

Parameters

177M

6.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin709 MB · 50%

Parameter types

How the weights are stored.

F32177M · 100%

Try a prompt

Model card

From the Hugging Face model README

BERT_ep8_lr4

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: 0.1754
Precision: 0.6822
Recall: 0.7097
F1: 0.6957
Accuracy: 0.9504

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-08
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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	467	0.2549	0.6812	0.6660	0.6735	0.9454
0.2775	2.0	934	0.2278	0.6778	0.6814	0.6796	0.9469
0.2438	3.0	1401	0.2086	0.6772	0.6935	0.6852	0.9481
0.2135	4.0	1868	0.1949	0.6780	0.7001	0.6889	0.9489
0.2058	5.0	2335	0.1856	0.6808	0.7057	0.6931	0.9496
0.1937	6.0	2802	0.1796	0.6810	0.7073	0.6939	0.9499
0.1818	7.0	3269	0.1763	0.6831	0.7097	0.6962	0.9503
0.1835	8.0	3736	0.1754	0.6822	0.7097	0.6957	0.9504

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Apr 9, 2023
Updated: Jan 31, 2025