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saqr-7b-beta – AI Model by Menouar | AlphaNeural AI
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Menouar
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saqr-7b-beta
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peft
tensorboard
safetensors
trl
dpo
generated_from_trainer
Menouar/saqr-7b-merged
adapter
apache-2.0
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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
