hing-mbert-finetuned-non-code-mixed-DS – AI Model by Dnyaneshwar | AlphaNeural AI

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Dnyaneshwar/
hing-mbert-finetuned-non-code-mixed-DS

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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hing-mbert-finetuned-non-code-mixed-DS

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

Loss: 1.6572
Accuracy: 0.6429
Precision: 0.6334
Recall: 0.6231
F1: 0.6262

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: 4.932923543227153e-05
train_batch_size: 4
eval_batch_size: 8
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.005	0.5	926	0.9346	0.5707	0.5844	0.5274	0.5108
0.969	1.0	1852	1.0295	0.5858	0.5893	0.5685	0.5455
0.8976	1.5	2778	1.0491	0.5739	0.5712	0.5295	0.5152
0.8578	2.0	3704	0.8577	0.6343	0.6443	0.6379	0.6318
0.7164	2.5	4630	1.3325	0.6300	0.6219	0.5932	0.5939
0.7391	3.0	5556	1.0329	0.6537	0.6489	0.6519	0.6467
0.5454	3.5	6482	1.6031	0.6375	0.6525	0.6188	0.6218
0.4927	4.0	7408	1.6572	0.6429	0.6334	0.6231	0.6262

Framework versions

Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1