IE_model – AI Model by wgj0714 | AlphaNeural AI

You can deploy this model and start earning money today!

wgj0714/
IE_model

like

0

text-classification

generated_from_trainer

klue/roberta-large

autotrain_compatible

endpoints_compatible

Views

No views yet

IE_model

This model is a fine-tuned version of klue/roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4341
Accuracy: 0.9007

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9432	1.0	574	0.5054	0.8537
0.4765	2.0	1148	0.4133	0.8589
0.4471	3.0	1722	0.4228	0.8693
0.3666	4.0	2296	0.4627	0.8815
0.3508	5.0	2870	0.3704	0.8833
0.325	6.0	3444	0.3704	0.9024
0.2662	7.0	4018	0.3733	0.9024
0.226	8.0	4592	0.4024	0.8972
0.1978	9.0	5166	0.4198	0.9042
0.186	10.0	5740	0.4341	0.9007

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.15.2