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interview-eval_-_zephyr-7b-math-case-6-ep5-gguf
RichardErkhov/interview-eval_-_zephyr-7b-math-case-6-ep5-gguf
interview-eval_-_zephyr-7b-math-case-6-ep5-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Apr 10, 2025
- Updated
- Apr 11, 2025
- SHA
- f54da74f
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
zephyr-7b-math-case-6-ep5 - GGUF
- Model creator: https://huggingface.co/interview-eval/
- Original model: https://huggingface.co/interview-eval/zephyr-7b-math-case-6-ep5/
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-ep5 results: []
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
zephyr-7b-math-case-6-ep5
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: 0.3117
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0402 | 1.0 | 5 | 0.7510 |
| 0.691 | 2.0 | 10 | 0.5701 |
| 0.5239 | 3.0 | 15 | 0.4264 |
| 0.3917 | 4.0 | 20 | 0.3359 |
| 0.3221 | 5.0 | 25 | 0.3117 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Created
- Apr 10, 2025
- Updated
- Apr 11, 2025