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robertagpt2_xsum – AI Model by Ayham | AlphaNeural AI

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Ayham/
robertagpt2_xsum

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encoder-decoder

text2text-generation

generated_from_trainer

endpoints_compatible

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robertagpt2_xsum

This model is a fine-tuned version of 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: 5e-05
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_steps: 2000
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.13.0
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3