TAM-10epoch-RobertaMul – AI Model by Rahul-G | AlphaNeural AI

You can deploy this model and start earning money today!

Rahul-G/
TAM-10epoch-RobertaMul

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

TAM-10epoch-RobertaMul

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: 1.0422
Accuracy: 0.7170

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: 10
eval_batch_size: 10
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
No log	1.0	8	1.1251	0.1321
No log	2.0	16	1.1182	0.1321
No log	3.0	24	1.1084	0.1321
No log	4.0	32	1.1062	0.1321
No log	5.0	40	1.0885	0.6981
No log	6.0	48	1.0812	0.7170
No log	7.0	56	1.0802	0.6981
No log	8.0	64	1.0590	0.7170
No log	9.0	72	1.0509	0.6981
No log	10.0	80	1.0422	0.7170

Framework versions

Transformers 4.35.0.dev0
Pytorch 1.13.1
Datasets 2.14.5
Tokenizers 0.14.1