Paraphrase_indicBERT_onfull_FT1 – AI Model by Abhi964 | AlphaNeural AI

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Abhi964/
Paraphrase_indicBERT_onfull_FT1

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text-classification

generated_from_trainer

ai4bharat/indic-bert

autotrain_compatible

endpoints_compatible

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Paraphrase_indicBERT_onfull_FT1

This model is a fine-tuned version of ai4bharat/indic-bert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4705
Accuracy: 0.788
F1: 0.7873

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: 3.492964437401573e-05
train_batch_size: 8
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6519	1.0	625	0.6043	0.682	0.6765
0.5239	2.0	1250	0.7503	0.6875	0.6830
0.5193	3.0	1875	0.5210	0.764	0.7636
0.5727	4.0	2500	0.4705	0.788	0.7873
0.4156	5.0	3125	0.6685	0.786	0.7860
0.2547	6.0	3750	0.8505	0.7815	0.7810
0.2266	7.0	4375	1.0129	0.774	0.7736

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0