Model save
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- adapter_model.safetensors +1 -1
README.md
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- sft
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- generated_from_trainer
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base_model: google/gemma-2b
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datasets:
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- generator
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model-index:
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- name: gemma-2b-dolly-qa
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results: []
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# gemma-2b-dolly-qa
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on
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It achieves the following results on the evaluation set:
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- Loss: 2.0198
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## Model description
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 1480
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 2.918 | 1.6393 | 100 | 2.5702 |
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| 2.4342 | 3.2787 | 200 | 2.2747 |
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| 2.2482 | 4.9180 | 300 | 2.1601 |
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| 2.1554 | 6.5574 | 400 | 2.0971 |
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| 2.1022 | 8.1967 | 500 | 2.0698 |
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| 2.0806 | 9.8361 | 600 | 2.0544 |
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| 2.0651 | 11.4754 | 700 | 2.0437 |
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| 2.0439 | 13.1148 | 800 | 2.0359 |
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| 2.0369 | 14.7541 | 900 | 2.0302 |
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| 2.034 | 16.3934 | 1000 | 2.0263 |
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| 2.0249 | 18.0328 | 1100 | 2.0236 |
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| 2.0174 | 19.6721 | 1200 | 2.0218 |
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| 2.0154 | 21.3115 | 1300 | 2.0203 |
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| 2.0145 | 22.9508 | 1400 | 2.0198 |
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### Framework versions
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- PEFT 0.10.0
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- sft
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base_model: google/gemma-2b
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model-index:
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- name: gemma-2b-dolly-qa
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results: []
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# gemma-2b-dolly-qa
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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## Model description
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 1480
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### Framework versions
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- PEFT 0.10.0
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adapter_model.safetensors
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size 156926880
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size 156926880
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