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bert_peft_trainer – AI Model by DanielFarfan | AlphaNeural AI

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DanielFarfan/
bert_peft_trainer

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nlptown/bert-base-multilingual-uncased-sentiment

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bert_peft_trainer

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on YELP dataset. It achieves the following results on the evaluation set:

epoch: 1.2308
eval_accuracy: 0.6092
eval_loss: 0.9067
eval_runtime: 730.7208
eval_samples_per_second: 68.426
eval_steps_per_second: 4.277
step: 50000

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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1