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bert-base-cased-wikitext2 – AI Model by MJa6 | AlphaNeural AI

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MJa6/
bert-base-cased-wikitext2

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bert-base-cased-wikitext2

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 9.1420
eval_runtime: 18.4655
eval_samples_per_second: 108.798
eval_steps_per_second: 13.647
epoch: 0.01
step: 27

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: 3.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3