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End of training

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README.md ADDED
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+ ---
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+ license: other
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+ base_model: microsoft/phi-1_5
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - scitldr
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+ model-index:
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+ - name: uplimit-project-3-phi-1.5
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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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+ # uplimit-project-3-phi-1.5
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+
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+ This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the scitldr dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.5352
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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: 0.001
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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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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+ - 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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+ | 2.5539 | 0.1 | 200 | 2.5942 |
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+ | 2.5712 | 0.2 | 400 | 2.5944 |
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+ | 2.5304 | 0.3 | 600 | 2.5755 |
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+ | 2.5846 | 0.4 | 800 | 2.5669 |
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+ | 2.5448 | 0.5 | 1000 | 2.5576 |
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+ | 2.5776 | 0.6 | 1200 | 2.5535 |
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+ | 2.5513 | 0.7 | 1400 | 2.5471 |
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+ | 2.5291 | 0.8 | 1600 | 2.5403 |
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+ | 2.5782 | 0.9 | 1800 | 2.5352 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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