Aya-Expanse-8B-French

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Aya Expanse 8B French

<img src="https://huggingface.co/CohereForAI/aya-expanse-8b/resolve/main/aya-expanse-8B.png" width="650" style="margin-left:'auto' margin-right:'auto' display:'block'"/>

Aya Expanse is an open-weight research release of a model with highly advanced multilingual capabilities. It focuses on pairing a highly performant pre-trained Command family of models with the result of a year’s dedicated research from Cohere For AI, including data arbitrage, multilingual preference training, safety tuning, and model merging. The result is a powerful multilingual large language model serving 23 languages.

We cover 23 languages: Arabic, Chinese (simplified & traditional), Czech, Dutch, English, French, German, Greek, Hebrew, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish, Ukrainian, and Vietnamese

This model card corresponds to the 8-billion version of the Aya Expanse model. We also released an 32-billion version which you can find here.

• Developed by: Cohere For AI
• Point of Contact: Cohere For AI: cohere.for.ai
• License: CC-BY-NC, requires also adhering to C4AI's Acceptable Use Policy
• Model: Aya Expanse 8B
• Model Size: 8 billion parameters

Model description

This version have been fine-tuned using SFT with huggingface

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: 0.001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3

Training results

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.1.1+cu121
• Datasets 3.0.2
• Tokenizers 0.20.1