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Trial1 – AI Model by ridhimamlds | AlphaNeural AI

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ridhimamlds/
Trial1

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text-classification

generated_from_trainer

l3cube-pune/marathi-bert-v2

autotrain_compatible

endpoints_compatible

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Trial1

This model is a fine-tuned version of l3cube-pune/marathi-bert-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5812
Accuracy: 0.8573
Precision: 0.8576
Recall: 0.8573

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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1