VictorNanka commited on
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add lora file

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README.md CHANGED
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  ---
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- license: mit
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: other
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+ base_model: microsoft/phi-2
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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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+ model-index:
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+ - name: phi-sft-lora
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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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+ # phi-sft-lora
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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: 1.2210
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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: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - distributed_type: multi-GPU
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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: 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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+ | 1.1971 | 0.05 | 10000 | 1.2409 |
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+ | 1.1911 | 0.1 | 20000 | 1.2349 |
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+ | 1.4103 | 0.14 | 30000 | 1.2317 |
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+ | 1.192 | 0.19 | 40000 | 1.2295 |
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+ | 1.4831 | 0.24 | 50000 | 1.2275 |
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+ | 1.2857 | 0.29 | 60000 | 1.2266 |
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+ | 1.014 | 0.34 | 70000 | 1.2256 |
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+ | 1.2777 | 0.38 | 80000 | 1.2251 |
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+ | 0.9019 | 0.43 | 90000 | 1.2241 |
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+ | 1.1926 | 0.48 | 100000 | 1.2235 |
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+ | 1.2298 | 0.53 | 110000 | 1.2233 |
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+ | 1.1102 | 0.58 | 120000 | 1.2228 |
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+ | 1.3166 | 0.63 | 130000 | 1.2219 |
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+ | 1.1452 | 0.67 | 140000 | 1.2217 |
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+ | 1.308 | 0.72 | 150000 | 1.2217 |
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+ | 0.9096 | 0.77 | 160000 | 1.2215 |
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+ | 1.2817 | 0.82 | 170000 | 1.2211 |
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+ | 1.2904 | 0.87 | 180000 | 1.2211 |
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+ | 0.9066 | 0.91 | 190000 | 1.2210 |
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+ | 1.1807 | 0.96 | 200000 | 1.2210 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "task_type": "CAUSAL_LM"
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+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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+ "model_max_length": 2048,
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+ "tokenizer_class": "CodeGenTokenizer",
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+ "unk_token": "<|endoftext|>"
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+ }
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