muril-base-cased-assamese – AI Model by pritamdeka | AlphaNeural AI

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pritamdeka/
muril-base-cased-assamese

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google/muril-base-cased

autotrain_compatible

endpoints_compatible

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temp_assamese

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: 1.4149
Accuracy: 0.7014

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: 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: 2.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.2163	0.1409	2000	1.8646	0.6320
1.9456	0.2818	4000	1.7492	0.6495
1.8391	0.4227	6000	1.6770	0.6606
1.7704	0.5637	8000	1.6166	0.6707
1.7213	0.7046	10000	1.5818	0.6759
1.6802	0.8455	12000	1.5403	0.6820
1.6432	0.9864	14000	1.5153	0.6858
1.6074	1.1273	16000	1.4965	0.6885
1.5833	1.2682	18000	1.4678	0.6934
1.5649	1.4091	20000	1.4508	0.6950
1.553	1.5501	22000	1.4367	0.6985
1.5345	1.6910	24000	1.4231	0.7001
1.5261	1.8319	26000	1.4157	0.7013
1.5148	1.9728	28000	1.4098	0.7027

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1