Instruction-Fine-Tuned-Models (GEMBA Prompt)
Collection
6 items • Updated
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
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Model tree for surrey-nlp/IFT-GEMBA-multilingual-Aya-expanse-8B
Base model
CohereLabs/aya-expanse-8b