RichardErkhov/scottsuk0306_-_zephyr-7b-math-case-6-ep1-8bits

Quantization made by Richard Erkhov.

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zephyr-7b-math-case-6-ep1 - bnb 8bits

• Model creator: https://huggingface.co/scottsuk0306/
• Original model: https://huggingface.co/scottsuk0306/zephyr-7b-math-case-6-ep1/

Original model description:

library_name: transformers license: apache-2.0 base_model: alignment-handbook/zephyr-7b-sft-full tags: - alignment-handbook - trl - sft - generated_from_trainer - trl - sft - generated_from_trainer datasets: - EunsuKim/GSM8K - EunsuKim/MATH model-index: - name: zephyr-7b-math-case-6-ep1 results: []

zephyr-7b-math-case-6-ep1

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the EunsuKim/GSM8K and the EunsuKim/MATH datasets. It achieves the following results on the evaluation set:

• Loss: 0.8035

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: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 64
• 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: 0.03
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.0354	1.0	5	0.8035

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1