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V0507HMA15HV4

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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
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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: V0507HMA15HV4
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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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+ # V0507HMA15HV4
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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: -90.3589
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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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+ | -10.2471 | 0.09 | 10 | -11.5048 |
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+ | -12.7013 | 0.18 | 20 | -14.6171 |
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+ | -17.062 | 0.27 | 30 | -21.1957 |
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+ | -25.2942 | 0.36 | 40 | -31.1893 |
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+ | -35.8779 | 0.45 | 50 | -42.0890 |
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+ | -45.8598 | 0.54 | 60 | -51.0205 |
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+ | -54.2561 | 0.63 | 70 | -59.2111 |
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+ | -62.3661 | 0.73 | 80 | -66.9216 |
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+ | -69.4503 | 0.82 | 90 | -73.1015 |
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+ | -75.6331 | 0.91 | 100 | -79.7275 |
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+ | -80.4469 | 1.0 | 110 | -79.1007 |
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+ | -82.9062 | 1.09 | 120 | -78.7341 |
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+ | -79.1302 | 1.18 | 130 | -78.9765 |
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+ | -80.7856 | 1.27 | 140 | -81.2231 |
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+ | -82.8251 | 1.36 | 150 | -84.6507 |
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+ | -85.8154 | 1.45 | 160 | -89.2273 |
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+ | -87.8705 | 1.54 | 170 | -86.6222 |
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+ | -87.8482 | 1.63 | 180 | -87.4917 |
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+ | -89.9952 | 1.72 | 190 | -85.7639 |
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+ | -88.213 | 1.81 | 200 | -88.9700 |
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+ | -90.884 | 1.9 | 210 | -89.7730 |
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+ | -90.422 | 1.99 | 220 | -89.8904 |
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+ | -89.8791 | 2.08 | 230 | -90.1639 |
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+ | -90.1325 | 2.18 | 240 | -90.1416 |
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+ | -90.6013 | 2.27 | 250 | -89.7608 |
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+ | -89.5485 | 2.36 | 260 | -89.8643 |
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+ | -90.4119 | 2.45 | 270 | -90.7045 |
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+ | -90.9852 | 2.54 | 280 | -90.5243 |
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+ | -90.4856 | 2.63 | 290 | -90.2753 |
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+ | -90.5832 | 2.72 | 300 | -90.5374 |
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+ | -90.7252 | 2.81 | 310 | -90.4361 |
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+ | -90.5843 | 2.9 | 320 | -90.3612 |
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+ | -90.4331 | 2.99 | 330 | -90.3589 |
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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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