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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: 2.0209
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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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| 2.9261 | 1.6393 | 100 | 2.5691 |
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| 2.4363 | 3.2787 | 200 | 2.2789 |
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| 2.2448 | 4.9180 | 300 | 2.1604 |
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| 2.1502 | 6.5574 | 400 | 2.1008 |
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| 2.111 | 8.1967 | 500 | 2.0725 |
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| 2.0837 | 9.8361 | 600 | 2.0565 |
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| 2.0646 | 11.4754 | 700 | 2.0456 |
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| 2.0499 | 13.1148 | 800 | 2.0378 |
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| 2.0497 | 14.7541 | 900 | 2.0323 |
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| 2.0275 | 16.3934 | 1000 | 2.0282 |
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| 2.0271 | 18.0328 | 1100 | 2.0255 |
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| 2.0205 | 19.6721 | 1200 | 2.0233 |
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| 2.0218 | 21.3115 | 1300 | 2.0219 |
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| 2.011 | 22.9508 | 1400 | 2.0209 |
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### Framework versions
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- PEFT 0.10.0
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