model_part3_muril_final_fixed – AI Model by Alamin2230 | AlphaNeural AI

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Alamin2230/
model_part3_muril_final_fixed

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text-classification

generated_from_trainer

text-embeddings-inference

endpoints_compatible

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model_part3_muril_final_fixed

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0249
F1: 0.9742
Precision: 0.9913
Recall: 0.9578
Fpr: 0.0084
Fnr: 0.0422

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall	Fpr	Fnr
No log	1.0	119	0.0189	0.9676	0.9912	0.9451	0.0084	0.0549
No log	2.0	238	0.0241	0.9676	0.9912	0.9451	0.0084	0.0549
No log	3.0	357	0.0268	0.9742	0.9913	0.9578	0.0084	0.0422
No log	4.0	476	0.0249	0.9742	0.9913	0.9578	0.0084	0.0422

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2