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phi-1_5-finetuned-question-generation

PEFT
Safetensors
trl
sft
Generated from Trainer
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Files changed (10) hide show
  1. README.md +73 -0
  2. adapter_config.json +32 -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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+ library_name: peft
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+ tags:
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+ - trl
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+ - sft
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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: phi-1_5-finetuned-question-generation
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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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+ # phi-1_5-finetuned-question-generation
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9079
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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: 0.0001
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+ - train_batch_size: 8
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 100
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+ - training_steps: 1000
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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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+ | 3.0206 | 0.28 | 100 | 2.8708 |
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+ | 2.8007 | 0.56 | 200 | 2.6294 |
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+ | 2.5551 | 0.85 | 300 | 2.4552 |
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+ | 2.3554 | 1.13 | 400 | 2.2903 |
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+ | 2.2233 | 1.41 | 500 | 2.1771 |
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+ | 2.1114 | 1.69 | 600 | 2.0850 |
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+ | 2.0211 | 1.97 | 700 | 2.0163 |
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+ | 1.8995 | 2.25 | 800 | 1.9635 |
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+ | 1.835 | 2.54 | 900 | 1.9226 |
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+ | 1.81 | 2.82 | 1000 | 1.9079 |
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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 4.38.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "target_modules": [
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+ "v_proj",
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+ "fc2"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_rslora": false
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+ }
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