Instructions to use samoline/fd399afe-481f-4718-8354-247be2be462 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use samoline/fd399afe-481f-4718-8354-247be2be462 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "samoline/fd399afe-481f-4718-8354-247be2be462") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +2 -2
- adapter_model.bin +1 -1
README.md
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This model is a fine-tuned version of [Maykeye/TinyLLama-v0](https://huggingface.co/Maykeye/TinyLLama-v0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 7.6998 | 0.1111 | 1 | 6.4243 |
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| 6.5179 | 0.2222 | 2 | 6.
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### Framework versions
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This model is a fine-tuned version of [Maykeye/TinyLLama-v0](https://huggingface.co/Maykeye/TinyLLama-v0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.4254
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 7.6998 | 0.1111 | 1 | 6.4243 |
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| 6.5179 | 0.2222 | 2 | 6.4254 |
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### Framework versions
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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size 416906
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version https://git-lfs.github.com/spec/v1
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size 416906
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