muril-base-cased – AI Model by avinasht | AlphaNeural AI

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avinasht/
muril-base-cased

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text-classification

generated_from_trainer

google/muril-base-cased

endpoints_compatible

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muril-base-cased

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: 0.4418
Accuracy: 0.9048
F1: 0.9048
Precision: 0.9048
Recall: 0.9048

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.9491	1.0	1091	0.8200	0.7436	0.7436	0.7436	0.7436
0.7678	2.0	2182	0.4488	0.8791	0.8791	0.8791	0.8791
0.5058	3.0	3273	0.4937	0.9011	0.9011	0.9011	0.9011
1.3151	4.0	4364	0.4514	0.8974	0.8974	0.8974	0.8974
0.4699	5.0	5455	0.4418	0.9048	0.9048	0.9048	0.9048

Framework versions

Transformers 4.52.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1