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bert_pretrained – AI Model by dSiddhesh | AlphaNeural AI

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dSiddhesh/
bert_pretrained

like

0

text-generation

generated_from_trainer

temporary0-0name/rand_model

autotrain_compatible

endpoints_compatible

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bert_pretrained

This model is a fine-tuned version of temporary0-0name/rand_model on the wikitext 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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.0.1+cu118
Datasets 2.14.6
Tokenizers 0.14.1