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dhanishetty/phi-3-mini-LoRA

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README.md ADDED
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+ ---
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+ base_model: microsoft/Phi-3-mini-4k-instruct
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+ library_name: peft
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+ license: mit
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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: phi-3-mini-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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dhanishetty-personaluse/huggingface/runs/q8sd8pe7)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dhanishetty-personaluse/huggingface/runs/q8sd8pe7)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dhanishetty-personaluse/huggingface/runs/q8sd8pe7)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dhanishetty-personaluse/huggingface/runs/q8sd8pe7)
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+ # phi-3-mini-LoRA
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+
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+ This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4578
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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: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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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: polynomial
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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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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+ | 0.9205 | 0.2022 | 100 | 0.9239 |
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+ | 0.6297 | 0.4044 | 200 | 0.6279 |
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+ | 0.4782 | 0.6067 | 300 | 0.5032 |
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+ | 0.494 | 0.8089 | 400 | 0.4833 |
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+ | 0.4613 | 1.0111 | 500 | 0.4755 |
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+ | 0.4587 | 1.2133 | 600 | 0.4708 |
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+ | 0.4643 | 1.4156 | 700 | 0.4673 |
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+ | 0.4498 | 1.6178 | 800 | 0.4645 |
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+ | 0.506 | 1.8200 | 900 | 0.4624 |
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+ | 0.4235 | 2.0222 | 1000 | 0.4608 |
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+ | 0.4798 | 2.2245 | 1100 | 0.4597 |
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+ | 0.4646 | 2.4267 | 1200 | 0.4586 |
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+ | 0.4636 | 2.6289 | 1300 | 0.4580 |
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+ | 0.4596 | 2.8311 | 1400 | 0.4578 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.42.3
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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