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finetuning-l3-bert-latest – AI Model by swadesh7 | AlphaNeural AI

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swadesh7/
finetuning-l3-bert-latest

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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finetuning-l3-bert-latest

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

eval_loss: 0.6283
eval_accuracy: 0.7558
eval_f1: 0.7529
eval_runtime: 79.9067
eval_samples_per_second: 51.61
eval_steps_per_second: 6.458
step: 0

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

Transformers 4.29.0
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3