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ar_norm_input_lrsmall – AI Model by lyan62 | AlphaNeural AI

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lyan62/
ar_norm_input_lrsmall

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ar_norm_input_lrsmall

This model is a fine-tuned version of on the wikipedia + bookcorpus 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: 0.00015
train_batch_size: 32
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 500000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.17.0
Pytorch 1.12.0
Datasets 2.0.0
Tokenizers 0.13.2