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hyp-dataaug-news-vanilla – AI Model by layai | AlphaNeural AI

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layai/
hyp-dataaug-news-vanilla

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text-generation

generated_from_trainer

meta-llama/Meta-Llama-3-8B

text-generation-inference

endpoints_compatible

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vanilla

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0613
Accuracy: 0.8208

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: 40
eval_batch_size: 40
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 160
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3.0

Training results

Framework versions

Transformers 4.55.0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.4