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--- |
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language: |
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- en |
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- tr |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- mistral |
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- trl |
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- dpo |
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- rlhf |
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- turkish |
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- llama2 |
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base_model: Trendyol/Trendyol-LLM-7b-chat-v1.0 |
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library_name: adapter-transformers |
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pipeline_tag: question-answering |
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--- |
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# Uploaded model |
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- **Developed by:** umarigan |
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- **License:** apache-2.0 |
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- **Finetuned from model :** Trendyol/Trendyol-LLM-7b-chat-v1.0 |
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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I used 10k pair of Turkish rlhf dataset. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
