hing-roberta-finetuned-ours-DS – AI Model by IIIT-L | AlphaNeural AI

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IIIT-L/
hing-roberta-finetuned-ours-DS

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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hing-roberta-finetuned-ours-DS

This model is a fine-tuned version of l3cube-pune/hing-roberta on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7267
Accuracy: 0.68
Precision: 0.6320
Recall: 0.6234
F1: 0.6133

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: 1.0638650088808569e-05
train_batch_size: 16
eval_batch_size: 32
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0144	0.99	99	0.8326	0.585	0.4260	0.5589	0.4470
0.7626	1.98	198	0.7314	0.625	0.5366	0.5541	0.4828
0.6243	2.97	297	0.7064	0.65	0.5702	0.5888	0.5562
0.5539	3.96	396	0.7261	0.695	0.6598	0.6362	0.6326
0.4881	4.95	495	0.7267	0.68	0.6320	0.6234	0.6133

Framework versions

Transformers 4.20.1
Pytorch 1.10.1+cu111
Datasets 2.3.2
Tokenizers 0.12.1