lora_phi-1_5
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README.md
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- sft
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base_model: microsoft/phi-1_5
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model-index:
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- name: lora_phi-1_5
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results: []
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# lora_phi-1_5
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on
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## Model description
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 593
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### Framework versions
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- PEFT 0.11.1
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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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datasets:
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- generator
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model-index:
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- name: lora_phi-1_5
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results: []
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# lora_phi-1_5
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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 generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3998
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## Model description
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 593
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.7756 | 0.8065 | 100 | 2.5791 |
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| 2.558 | 1.6129 | 200 | 2.4656 |
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| 2.4521 | 2.4194 | 300 | 2.4294 |
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| 2.4589 | 3.2258 | 400 | 2.4103 |
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| 2.4248 | 4.0323 | 500 | 2.3998 |
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### Framework versions
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- PEFT 0.11.1
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