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End of training
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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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model-index:
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- name: Not-so-bright-AGI-v1
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results: []
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# Not-so-bright-AGI-v1
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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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## 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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- 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: Not-so-bright-AGI-v1
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results: []
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# Not-so-bright-AGI-v1
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0548
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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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|:-------------:|:-----:|:----:|:---------------:|
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| 2.9165 | 3.2 | 100 | 2.6762 |
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| 2.419 | 6.4 | 200 | 2.3629 |
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| 2.2343 | 9.6 | 300 | 2.2060 |
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| 2.1459 | 12.8 | 400 | 2.1401 |
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| 2.0944 | 16.0 | 500 | 2.1112 |
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| 2.0679 | 19.2 | 600 | 2.0942 |
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| 2.0496 | 22.4 | 700 | 2.0826 |
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| 2.0375 | 25.6 | 800 | 2.0743 |
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| 2.0213 | 28.8 | 900 | 2.0684 |
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| 2.0148 | 32.0 | 1000 | 2.0630 |
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| 2.0048 | 35.2 | 1100 | 2.0593 |
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| 1.9988 | 38.4 | 1200 | 2.0575 |
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| 1.9968 | 41.6 | 1300 | 2.0555 |
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| 1.9908 | 44.8 | 1400 | 2.0548 |
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### Framework versions
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- PEFT 0.10.0
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