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upload PHI30511HMA9H

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/Phi-3-mini-4k-instruct
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: PHI30511HMA9H
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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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+ # PHI30511HMA9H
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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: 0.0869
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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: 0.0003
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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: 16
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine_with_restarts
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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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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+ | 2.8775 | 0.09 | 10 | 0.3763 |
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+ | 0.2111 | 0.18 | 20 | 0.1599 |
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+ | 0.1716 | 0.27 | 30 | 0.1572 |
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+ | 0.1387 | 0.36 | 40 | 0.1256 |
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+ | 0.1207 | 0.45 | 50 | 0.1180 |
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+ | 0.122 | 0.54 | 60 | 0.0924 |
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+ | 0.0892 | 0.63 | 70 | 0.1051 |
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+ | 0.0987 | 0.73 | 80 | 0.0895 |
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+ | 0.0714 | 0.82 | 90 | 0.0755 |
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+ | 0.0719 | 0.91 | 100 | 0.0724 |
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+ | 0.0733 | 1.0 | 110 | 0.0718 |
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+ | 0.049 | 1.09 | 120 | 0.0710 |
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+ | 0.0504 | 1.18 | 130 | 0.0854 |
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+ | 0.0585 | 1.27 | 140 | 0.0735 |
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+ | 0.0539 | 1.36 | 150 | 0.0671 |
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+ | 0.0588 | 1.45 | 160 | 0.0735 |
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+ | 0.0502 | 1.54 | 170 | 0.0683 |
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+ | 0.0509 | 1.63 | 180 | 0.0710 |
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+ | 0.044 | 1.72 | 190 | 0.0674 |
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+ | 0.0467 | 1.81 | 200 | 0.0708 |
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+ | 0.0521 | 1.9 | 210 | 0.0689 |
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+ | 0.0468 | 1.99 | 220 | 0.0721 |
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+ | 0.0233 | 2.08 | 230 | 0.0698 |
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+ | 0.0207 | 2.18 | 240 | 0.0851 |
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+ | 0.0189 | 2.27 | 250 | 0.1004 |
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+ | 0.0112 | 2.36 | 260 | 0.1035 |
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+ | 0.0194 | 2.45 | 270 | 0.0972 |
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+ | 0.0133 | 2.54 | 280 | 0.0941 |
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+ | 0.0184 | 2.63 | 290 | 0.0909 |
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+ | 0.0207 | 2.72 | 300 | 0.0879 |
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+ | 0.0158 | 2.81 | 310 | 0.0870 |
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+ | 0.0192 | 2.9 | 320 | 0.0871 |
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+ | 0.015 | 2.99 | 330 | 0.0869 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.14.1
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