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t5-small-codesearchnet-python-archive – AI Model by lmeninato | AlphaNeural AI

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lmeninato/
t5-small-codesearchnet-python-archive

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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output

This model is a fine-tuned version of t5-small 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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.3