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