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

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CVR123/
Muril-base-finetune-Tamil-qc

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text-classification

generated_from_trainer

google/muril-large-cased

autotrain_compatible

endpoints_compatible

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Muril-base-finetune-Tamil-qc

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

Loss: 0.7585
Precision: 0.8899
Recall: 0.8887
Accuracy: 0.8887
F1-score: 0.8892

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: 32
eval_batch_size: 32
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
0.7778	1.0	155	0.4237	0.8573	0.8664	0.8664	0.8605
0.2769	2.0	310	0.3965	0.8789	0.8765	0.8765	0.8769
0.1657	3.0	465	0.4423	0.8889	0.8866	0.8866	0.8870
0.0975	4.0	620	0.5887	0.8824	0.8785	0.8785	0.8798
0.067	5.0	775	0.6212	0.8882	0.8846	0.8846	0.8858
0.034	6.0	930	0.6018	0.8948	0.8927	0.8927	0.8934
0.0249	7.0	1085	0.7035	0.8902	0.8887	0.8887	0.8893
0.0206	8.0	1240	0.7113	0.8936	0.8927	0.8927	0.8931
0.0122	9.0	1395	0.7400	0.8899	0.8887	0.8887	0.8892
0.0043	10.0	1550	0.7585	0.8899	0.8887	0.8887	0.8892

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2