Instructions to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/5255b81c-a162-4f3a-9a96-f4d344cb99c8") model = PeftModel.from_pretrained(base_model, "error577/47615d62-b7f3-4efd-b567-61a937215b9f") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +6 -1
- adapter_model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [samoline/5255b81c-a162-4f3a-9a96-f4d344cb99c8](https://huggingface.co/samoline/5255b81c-a162-4f3a-9a96-f4d344cb99c8) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| 0.5897 | 0.1094 | 1000 | 0.8338 |
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| 0.866 | 0.1312 | 1200 | 0.8312 |
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| 0.5207 | 0.1531 | 1400 | 0.8338 |
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### Framework versions
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This model is a fine-tuned version of [samoline/5255b81c-a162-4f3a-9a96-f4d344cb99c8](https://huggingface.co/samoline/5255b81c-a162-4f3a-9a96-f4d344cb99c8) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8456
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## Model description
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| 0.5897 | 0.1094 | 1000 | 0.8338 |
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| 0.866 | 0.1312 | 1200 | 0.8312 |
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| 0.5207 | 0.1531 | 1400 | 0.8338 |
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| 0.8087 | 0.1750 | 1600 | 0.8419 |
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| 0.8481 | 0.1969 | 1800 | 0.8370 |
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| 0.6158 | 0.2187 | 2000 | 0.8424 |
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| 0.7539 | 0.2406 | 2200 | 0.8447 |
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| 0.8562 | 0.2625 | 2400 | 0.8456 |
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### Framework versions
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 194563400
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