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muril_large_finetuned – AI Model by varadsrivastava | AlphaNeural AI

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varadsrivastava/
muril_large_finetuned

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text-classification

generated_from_trainer

google/muril-large-cased

autotrain_compatible

endpoints_compatible

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muril_large_finetuned

This model is a fine-tuned version of google/muril-large-cased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7227
eval_accuracy: 0.7333
eval_f1: 0.6131
eval_runtime: 9.413
eval_samples_per_second: 122.703
eval_steps_per_second: 30.702
epoch: 1.0
step: 2599

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: 7.040797016244148e-06
train_batch_size: 4
eval_batch_size: 4
seed: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.15.2