xlm-roberta-base-Mixed-insert-vi – AI Model by ThuyNT03 | AlphaNeural AI

You can deploy this model and start earning money today!

ThuyNT03/
xlm-roberta-base-Mixed-insert-vi

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-base-Mixed-insert-vi

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

Loss: 1.0718
Accuracy: 0.8169
F1: 0.8133

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7982	1.0	213	0.6740	0.7625	0.7024
0.5276	2.0	426	0.5662	0.7943	0.7859
0.4071	3.0	639	0.5453	0.7958	0.7929
0.3311	4.0	852	0.5844	0.8094	0.8007
0.2695	5.0	1065	0.5819	0.8230	0.8221
0.2226	6.0	1278	0.7325	0.8200	0.8144
0.1826	7.0	1491	0.8314	0.8124	0.8070
0.1469	8.0	1704	0.9560	0.8154	0.8124
0.1397	9.0	1917	1.0850	0.8169	0.8105
0.1231	10.0	2130	1.0718	0.8169	0.8133

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3