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phi-2-xsum-adapter – AI Model by ernlavr | AlphaNeural AI

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ernlavr/
phi-2-xsum-adapter

like

0

text-classification

generated_from_trainer

microsoft/phi-2

autotrain_compatible

endpoints_compatible

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phi-2-xsum-adapter

This model is a fine-tuned version of microsoft/phi-2 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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 6.375
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.0.1
Datasets 2.14.6
Tokenizers 0.14.1