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checkpoint-24453 – AI Model by Jellevdl | AlphaNeural AI

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Jellevdl/
checkpoint-24453

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checkpoint-24453

This model is a fine-tuned version of bert-base-uncased on the None 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: 2e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 48
optimizer: Adafactor
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 6000
num_epochs: 30

Framework versions

Transformers 4.18.0
Pytorch 1.5.0
Datasets 2.4.0
Tokenizers 0.12.1