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End of training

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  1. README.md +61 -0
  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: microsoft/phi-1_5
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+ model-index:
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+ - name: remote_sensing_gpt_expt4
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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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+ # remote_sensing_gpt_expt4
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.3855
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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: 2e-05
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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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+ - 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: 3.0
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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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+ | 3.4913 | 1.0 | 916 | 3.4388 |
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+ | 3.2788 | 2.0 | 1832 | 3.3951 |
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+ | 3.218 | 3.0 | 2748 | 3.3855 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.9.0
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+ - Transformers 4.36.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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