Model save
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README.md
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---
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base_model: google/gemma-2-9b-it
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library_name: peft
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license: gemma
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: gemma2_9b_LORA_Persian_MCQ_16_32_v1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gemma2_9b_LORA_Persian_MCQ_16_32_v1
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This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8247
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 100
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1752 | 1.0 | 375 | 1.1416 |
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| 0.8005 | 2.0 | 750 | 0.9006 |
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| 0.6332 | 3.0 | 1125 | 0.8247 |
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### Framework versions
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- PEFT 0.12.1.dev0
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- Transformers 4.44.0.dev0
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- Pytorch 2.1.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Sep16_19-48-31_cyrus-the-great/events.out.tfevents.1726516132.cyrus-the-great.4032705.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:28074819003b14ff16a61b3632058aa71e101d6a42883995f44e4753ea64b1ba
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size 54153
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