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yefo-ufpe/
distilbert-base-uncased-wnut_17

Name: distilbert-base-uncased-wnut_17
Availability: InStock

generated_from_trainer

wnut_17

distilbert/distilbert-base-uncased

adapter

apache-2.0

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distilbert-base-uncased-wnut_17

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:

Loss: 0.2938
Precision: 0.5528
Recall: 0.2039
F1: 0.2979
Accuracy: 0.9360

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-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	213	0.4316	1.0	0.0	0.0	0.9256
No log	2.0	426	0.3608	1.0	0.0	0.0	0.9256
0.5303	3.0	639	0.3333	0.32	0.0074	0.0145	0.9265
0.5303	4.0	852	0.3202	0.3190	0.0343	0.0619	0.9287
0.1929	5.0	1065	0.3096	0.4331	0.1019	0.1650	0.9322
0.1929	6.0	1278	0.3013	0.4718	0.1474	0.2246	0.9336
0.1929	7.0	1491	0.3002	0.5335	0.1770	0.2658	0.9350
0.1726	8.0	1704	0.2983	0.5538	0.1909	0.2839	0.9356
0.1726	9.0	1917	0.2944	0.5505	0.2020	0.2956	0.9360
0.1607	10.0	2130	0.2938	0.5528	0.2039	0.2979	0.9360

Framework versions

PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

yefo-ufpe/distilbert-base-uncased-wnut_17

distilbert-base-uncased-wnut_17

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yefo-ufpe/
distilbert-base-uncased-wnut_17