spanbert-base-cased-finetuned-slot_fill

FanChen0116/spanbert-base-cased-finetuned-slot_fill

spanbert-base-cased-finetuned-slot_fill is a token classification model from FanChen0116. 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: Jan 2, 2024
Updated: Jan 2, 2024
SHA: 4924959b

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Base models

SpanBERT/spanbert-base-cased

Model card

From the Hugging Face model README

spanbert-base-cased-finetuned-slot_fill

This model is a fine-tuned version of SpanBERT/spanbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5806
Precision: 0.6222
Recall: 0.3415
F1: 0.4409
Accuracy: 0.8914

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	18	0.8888	0.7143	0.3049	0.4274	0.8737
No log	2.0	36	0.7158	0.7143	0.3049	0.4274	0.8737
No log	3.0	54	0.6283	0.7143	0.3049	0.4274	0.8737
No log	4.0	72	0.5922	0.7143	0.3049	0.4274	0.8737
No log	5.0	90	0.5806	0.6222	0.3415	0.4409	0.8914

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

Task: Token Classification
Library: transformers
Type: bert
Created: Jan 2, 2024
Updated: Jan 2, 2024