bert-tiny-finetuned-finer

muhtasham/bert-tiny-finetuned-finer

bert-tiny-finetuned-finer is a token classification model from muhtasham. 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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Base models

google/bert_uncased_L-2_H-128_A-2

Datasets

Model card

From the Hugging Face model README

bertiny-finetuned-finer

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the finer-139 dataset. It achieves the following results on the evaluation set:

Loss: 0.0882
Precision: 0.5339
Recall: 0.0360
F1: 0.0675
Accuracy: 0.9847

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0871	1.0	11255	0.0952	0.0	0.0	0.0	0.9843
0.0864	2.0	22510	0.0895	0.7640	0.0082	0.0162	0.9844
0.0929	3.0	33765	0.0882	0.5339	0.0360	0.0675	0.9847

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 25, 2022
Updated: Sep 15, 2023