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Capybara – AI Model by yue619 | AlphaNeural AI

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yue619/
Capybara

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text-generation

generated_from_trainer

trainging_from_scratch

Self-GRIT/wikitext-2-raw-v1-preprocessed

autotrain_compatible

text-generation-inference

endpoints_compatible

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Capybara

This model is training from scratch on the Self-GRIT/wikitext-2-raw-v1-preprocessed dataset. It achieves the following results on the evaluation set:

Loss: 5.9824
Accuracy: 0.2140

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.1.2+cu118
Datasets 3.0.0
Tokenizers 0.19.1