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huseyinatahaninan
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phi-2-instruction

PEFT
Safetensors
phi
alignment-handbook
Generated from Trainer
custom_code
4-bit precision
bitsandbytes
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  1. README.md +66 -1
  2. adapter_config.json +31 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +40 -0
  5. config.json +46 -0
  6. merges.txt +0 -0
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  8. tokenizer.json +0 -0
  9. tokenizer_config.json +325 -0
README.md CHANGED
@@ -1,3 +1,68 @@
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  ---
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- license: unknown
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: mit
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+ library_name: peft
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+ tags:
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+ - alignment-handbook
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+ - generated_from_trainer
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+ datasets:
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+ - HuggingFaceH4/ultrachat_200k
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+ base_model: microsoft/phi-2
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+ model-index:
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+ - name: output_dir
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+ results: []
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  ---
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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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+
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+ # output_dir
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+
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+ This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the HuggingFaceH4/ultrachat_200k dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1597
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 64
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.1796 | 1.0 | 1998 | 1.1597 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.1
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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