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log_pretrained-bert – AI Model by eun-woo | AlphaNeural AI

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eun-woo/
log_pretrained-bert

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log_pretrained-bert

This model is a fine-tuned version of OUTPUT_DIR_spark on an unknown dataset.

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: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.3.0
Datasets 2.21.0
Tokenizers 0.19.1