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0-universitytehranPersianMind-MeDiaPQA-finetune – AI Model by Mahsa77Best | AlphaNeural AI
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0-universitytehranPersianMind-MeDiaPQA-finetune
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peft
safetensors
generated_from_trainer
universitytehran/PersianMind-v1.0
adapter
cc-by-nc-sa-4.0
us
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0-universitytehranPersianMind-MeDiaPQA-finetune
This model is a fine-tuned version of
universitytehran/PersianMind-v1.0
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.6044
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: 2.5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 50
Training results
Training Loss
Epoch
Step
Validation Loss
5.5062
0.0361
25
4.4815
3.8908
0.0721
50
3.6044
Framework versions
PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
