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PMCQ-Gemma2-9b
Kamyar-zeinalipour/PMCQ-Gemma2-9b
PMCQ-Gemma2-9b is a machine learning model from Kamyar-zeinalipour. 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 gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Sep 15, 2024
- Updated
- Sep 17, 2024
- SHA
- b755ac5e
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. -->
gemma2_9b_LORA_Persian_MCQ_16_32_v1
This model is a fine-tuned version of google/gemma-2-9b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8247
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1752 | 1.0 | 375 | 1.1416 |
| 0.8005 | 2.0 | 750 | 0.9006 |
| 0.6332 | 3.0 | 1125 | 0.8247 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.44.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Sep 15, 2024
- Updated
- Sep 17, 2024