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IFT-GEMBA-multilingual-Aya-expanse-8B – AI Model by surrey-nlp | AlphaNeural AI

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surrey-nlp/
IFT-GEMBA-multilingual-Aya-expanse-8B

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CohereLabs/aya-expanse-8b

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aya-expanse-8b

This model is a fine-tuned version of CohereForAI/aya-expanse-8b on the combined_train_gemba 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
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

PEFT 0.12.0
Transformers 4.43.4
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1