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README.md
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---
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license: mit
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---
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---
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license: mit
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base_model: microsoft/phi-2
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tags:
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- generated_from_trainer
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model-index:
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- name: phi-2-finetuned
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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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# phi-2-finetuned
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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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: 0.0002
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- training_steps: 10
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "microsoft/phi-2",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"out_proj",
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"Wqkv"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5169560fdb3107d68b26979623187370a9b22825442d73d0b895a2ed3d81e050
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size 31474080
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runs/Jan10_16-13-30_a97a6090af15/events.out.tfevents.1704903211.a97a6090af15.1184.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:dea8813be34a16cacce9c23ec430150137e7bba06f9687c826a77f047588cf42
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size 5131
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:73737bfb0b452ef7c9ab1eb1b30fe71e03b014cef087178bc4b10b6ea515848d
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size 4600
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