African-ultrachat-alpaca-GGUF

Quantized GGUF model files for African-ultrachat-alpaca from masakhane

Original Model Card:

zephyr-7b-gemma-sft-african-ultraalpaca

This model is a fine-tuned version of google/gemma-7b

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.0034	1.0	23628	1.0630
0.6403	2.0	47257	0.8788
0.2976	3.0	70884	0.8875

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 2.14.6
• Tokenizers 0.15.2