xlm-roberta-base-qqp-100 – AI Model by tmnam20 | AlphaNeural AI

You can deploy this model and start earning money today!

tmnam20/
xlm-roberta-base-qqp-100

like

0

text-classification

generated_from_trainer

tmnam20/VieGLUE

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-base-qqp-100

This model is a fine-tuned version of xlm-roberta-base on the tmnam20/VieGLUE/QQP dataset. It achieves the following results on the evaluation set:

Loss: 0.2785
Accuracy: 0.8946
F1: 0.8587
Combined Score: 0.8767

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: 32
eval_batch_size: 16
seed: 100
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.3304	0.44	5000	0.3286	0.8591	0.8046	0.8318
0.2856	0.88	10000	0.2910	0.8744	0.8273	0.8509
0.2795	1.32	15000	0.2818	0.8808	0.8413	0.8610
0.2492	1.76	20000	0.2750	0.8863	0.8484	0.8674
0.2093	2.2	25000	0.2791	0.8919	0.8542	0.8730
0.2022	2.64	30000	0.2926	0.8928	0.8566	0.8747

Framework versions

Transformers 4.35.2
Pytorch 2.2.0.dev20231203+cu121
Datasets 2.15.0
Tokenizers 0.15.0