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byt5-small-coqa – AI Model by rooftopcoder | AlphaNeural AI

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rooftopcoder/
byt5-small-coqa

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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byt5-small-coqa

This model is a fine-tuned version of google/byt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Accuracy: 0.1289
F1: 0.0294

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.29.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3