RichardErkhov/HuggingFaceH4_-_zephyr-7b-gemma-sft-v0.1-4bits

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zephyr-7b-gemma-sft-v0.1 - bnb 4bits

• Model creator: https://huggingface.co/HuggingFaceH4/
• Original model: https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1/

Original model description:

license: other license_name: gemma-terms-of-use license_link: https://ai.google.dev/gemma/terms base_model: google/gemma-7b tags: - alignment-handbook - trl - sft - generated_from_trainer - trl - sft - generated_from_trainer datasets: - HuggingFaceH4/deita-10k-v0-sft model-index: - name: zephyr-7b-gemma-sft results: [] language: - en

zephyr-7b-gemma-sft

This model is a fine-tuned version of google/gemma-7b on the HuggingFaceH4/deita-10k-v0-sft dataset. It achieves the following results on the evaluation set:

• Loss: 0.9732

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 16
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• total_eval_batch_size: 64
• 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
0.9482	1.0	299	0.9848
0.8139	2.0	599	0.9610
0.722	2.99	897	0.9732

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.1.2+cu121
• Datasets 2.14.6
• Tokenizers 0.15.1