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kimsiun/
ec_classfication_0502_google_electra_base_discriminator

Name: ec_classfication_0502_google_electra_base_discriminator
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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ec_classfication_0502_google_electra_base_discriminator

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

Loss: 0.8369
F1: 0.8511

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	59	0.6505	0.3934
No log	2.0	118	0.4319	0.8211
No log	3.0	177	0.4704	0.8269
No log	4.0	236	0.4700	0.8571
No log	5.0	295	0.5886	0.8478
No log	6.0	354	0.8250	0.8
No log	7.0	413	0.6282	0.8571
No log	8.0	472	0.6684	0.8632
0.2241	9.0	531	0.7479	0.8632
0.2241	10.0	590	0.8523	0.8387
0.2241	11.0	649	0.7993	0.8511
0.2241	12.0	708	0.8075	0.8602
0.2241	13.0	767	0.8326	0.8511
0.2241	14.0	826	0.8350	0.8511
0.2241	15.0	885	0.8369	0.8511

Framework versions

Transformers 4.27.3
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2

kimsiun/ec_classfication_0502_google_electra_base_discriminator

ec_classfication_0502_google_electra_base_discriminator

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kimsiun/
ec_classfication_0502_google_electra_base_discriminator