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hossam-t5 – AI Model by Ahmed007 | AlphaNeural AI

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Ahmed007/
hossam-t5

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text2text-generation

generated_from_trainer

UBC-NLP/octopus

text-generation-inference

endpoints_compatible

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hossam-t5

This model is a fine-tuned version of UBC-NLP/octopus 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: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1