Muril-base-finetune-Tamil-questions – AI Model by CVR123 | AlphaNeural AI

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CVR123/
Muril-base-finetune-Tamil-questions

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text-classification

generated_from_trainer

google/muril-base-cased

autotrain_compatible

endpoints_compatible

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Muril-base-finetune-Tamil-questions

This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4081
Precision: 0.9205
Recall: 0.9198
Accuracy: 0.9198
F1-score: 0.9199

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	Precision	Recall	Accuracy	F1-score
1.5732	1.0	305	1.2601	0.8743	0.8858	0.8858	0.8790
0.9937	2.0	610	0.7465	0.8988	0.9098	0.9098	0.9033
0.5354	3.0	915	0.4557	0.9044	0.9158	0.9158	0.9092
0.2862	4.0	1220	0.3772	0.9198	0.9198	0.9198	0.9193
0.1724	5.0	1525	0.3306	0.9274	0.9259	0.9259	0.9261
0.1235	6.0	1830	0.3763	0.9214	0.9158	0.9158	0.9171
0.0902	7.0	2135	0.3808	0.9229	0.9218	0.9218	0.9219
0.0644	8.0	2440	0.3974	0.9229	0.9218	0.9218	0.9220
0.0575	9.0	2745	0.3930	0.9224	0.9218	0.9218	0.9218
0.0483	10.0	3050	0.4081	0.9205	0.9198	0.9198	0.9199

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2