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V0507HMA15HV2

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  1. README.md +93 -0
  2. adapter_config.json +50 -0
  3. adapter_model.bin +3 -0
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  10. vocab.json +0 -0
README.md ADDED
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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: V0507HMA15HV2
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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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+ # V0507HMA15HV2
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: -95.0498
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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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+ | -8.6532 | 0.09 | 10 | -10.3327 |
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+ | -11.8451 | 0.18 | 20 | -14.2014 |
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+ | -17.3537 | 0.27 | 30 | -22.7794 |
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+ | -28.8388 | 0.36 | 40 | -38.5512 |
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+ | -47.1885 | 0.45 | 50 | -59.6364 |
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+ | -67.2573 | 0.54 | 60 | -76.6591 |
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+ | -81.223 | 0.63 | 70 | -86.3414 |
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+ | -87.9651 | 0.73 | 80 | -90.0475 |
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+ | -91.3192 | 0.82 | 90 | -92.4350 |
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+ | -92.7456 | 0.91 | 100 | -93.1825 |
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+ | -93.4032 | 1.0 | 110 | -93.7378 |
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+ | -93.8855 | 1.09 | 120 | -93.9331 |
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+ | -94.0075 | 1.18 | 130 | -93.9987 |
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+ | -94.001 | 1.27 | 140 | -94.3115 |
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+ | -94.3566 | 1.36 | 150 | -94.4505 |
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+ | -94.3346 | 1.45 | 160 | -94.2625 |
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+ | -94.5793 | 1.54 | 170 | -94.3309 |
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+ | -93.2701 | 1.63 | 180 | -93.4388 |
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+ | -94.2829 | 1.72 | 190 | -93.8681 |
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+ | -94.6778 | 1.81 | 200 | -94.7489 |
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+ | -94.5762 | 1.9 | 210 | -94.7745 |
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+ | -94.8427 | 1.99 | 220 | -94.8903 |
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+ | -94.8653 | 2.08 | 230 | -94.8499 |
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+ | -94.9237 | 2.18 | 240 | -94.9720 |
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+ | -95.0027 | 2.27 | 250 | -94.9841 |
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+ | -94.9404 | 2.36 | 260 | -94.8479 |
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+ | -94.9594 | 2.45 | 270 | -95.0076 |
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+ | -95.0772 | 2.54 | 280 | -95.0798 |
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+ | -95.0775 | 2.63 | 290 | -95.0480 |
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+ | -95.0528 | 2.72 | 300 | -95.0415 |
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+ | -95.0652 | 2.81 | 310 | -95.0442 |
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+ | -95.0738 | 2.9 | 320 | -95.0494 |
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+ | -95.0694 | 2.99 | 330 | -95.0498 |
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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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