xmlRoBert-Balanced-trimmed-20epoch – AI Model by Harsha9044 | AlphaNeural AI

You can deploy this model and start earning money today!

Harsha9044/
xmlRoBert-Balanced-trimmed-20epoch

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xmlRoBert-Balanced-trimmed-20epoch

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: 1.0586
Accuracy: 0.4545

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	4	1.0327	0.5
No log	2.0	8	0.9829	0.5
No log	3.0	12	1.0224	0.5
No log	4.0	16	0.9787	0.5
No log	5.0	20	0.9988	0.5
No log	6.0	24	0.9854	0.5
No log	7.0	28	0.9853	0.5
No log	8.0	32	1.0182	0.5455
No log	9.0	36	1.0077	0.5
No log	10.0	40	1.0143	0.5
No log	11.0	44	1.0110	0.5
No log	12.0	48	0.9900	0.5
No log	13.0	52	0.9904	0.5
No log	14.0	56	1.0003	0.4545
No log	15.0	60	1.0287	0.5455
No log	16.0	64	1.0526	0.5455
No log	17.0	68	1.0608	0.5
No log	18.0	72	1.0643	0.5
No log	19.0	76	1.0631	0.5
No log	20.0	80	1.0586	0.4545

Framework versions

Transformers 4.35.0.dev0
Pytorch 1.13.1
Datasets 2.14.5
Tokenizers 0.14.1