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saqr-7b-beta
Menouar/saqr-7b-beta
saqr-7b-beta is a machine learning model from Menouar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 16, 2024
- Updated
- Mar 4, 2024
- SHA
- d27734a0
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
saqr-7b-beta
This model is a fine-tuned version of Menouar/saqr-7b-merged on an unknown 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-07
- 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: linear
- training_steps: 5000
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 44.84 |
| AI2 Reasoning Challenge (25-Shot) | 47.78 |
| HellaSwag (10-Shot) | 77.61 |
| MMLU (5-Shot) | 25.80 |
| TruthfulQA (0-shot) | 39.38 |
| Winogrande (5-shot) | 70.56 |
| GSM8k (5-shot) | 7.88 |
- Library
- peft
- License
- apache-2.0
- Created
- Feb 16, 2024
- Updated
- Mar 4, 2024