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cls_6ep1 – AI Model by Sjdan | AlphaNeural AI

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Sjdan/
cls_6ep1

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cls_6ep1

This model is a fine-tuned version of Sjdan/cls_3ep1 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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 3.0
mixed_precision_training: Native AMP

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.10.2.dev0
Tokenizers 0.13.2