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MNLP_M3_mcqa_model_adapter – AI Model by aymanbakiri | AlphaNeural AI
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aymanbakiri
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MNLP_M3_mcqa_model_adapter
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peft
safetensors
mcqa
question-answering
sft
lora
qwen
unsloth
generated_from_trainer
AnnaelleMyriam/SFT_M3_model
adapter
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MNLP_M3_mcqa_model_adapter
This model is a fine-tuned version of
AnnaelleMyriam/SFT_M3_model
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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
