bert-finetuned-tv-dim

Thiagof/bert-finetuned-tv-dim

bert-finetuned-tv-dim is a token classification model from Thiagof. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Jun 27, 2023
Updated: Jun 27, 2023
SHA: 37eb9269

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Model card

From the Hugging Face model README

bert-finetuned-tv-dim

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1605
Precision: 0.75
Recall: 0.7875
F1: 0.7683
Accuracy: 0.9492

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
No log	1.0	25	0.1561	0.7195	0.7375	0.7284	0.9423
No log	2.0	50	0.1572	0.7412	0.7875	0.7636	0.9464
No log	3.0	75	0.1605	0.75	0.7875	0.7683	0.9492

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
Created: Jun 27, 2023
Updated: Jun 27, 2023