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lucifertrj/exp4-adapter

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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: results
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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/tarunwandb/huggingface/runs/p1uelhr3)
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+ # results
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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: 1.3580
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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: 0.0001
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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: 4
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+ - total_train_batch_size: 32
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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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+
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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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+ | 2.0752 | 0.0771 | 100 | 1.4142 |
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+ | 1.3931 | 0.1542 | 200 | 1.3826 |
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+ | 1.3882 | 0.2313 | 300 | 1.3745 |
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+ | 1.3717 | 0.3085 | 400 | 1.3701 |
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+ | 1.3711 | 0.3856 | 500 | 1.3673 |
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+ | 1.3659 | 0.4627 | 600 | 1.3649 |
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+ | 1.3691 | 0.5398 | 700 | 1.3632 |
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+ | 1.3585 | 0.6169 | 800 | 1.3614 |
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+ | 1.3634 | 0.6940 | 900 | 1.3603 |
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+ | 1.362 | 0.7712 | 1000 | 1.3593 |
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+ | 1.3584 | 0.8483 | 1100 | 1.3586 |
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+ | 1.3516 | 0.9254 | 1200 | 1.3580 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ "use_rslora": false
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