Instructions to use Yan777/trained_weigths with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Yan777/trained_weigths with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Yan777/trained_weigths") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) 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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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7403
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.7135 | 1.0 | 6036 | 0.6917 |
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| 0.6619 | 2.0 | 12072 | 0.6907 |
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| 0.5675 | 3.0 | 18108 | 0.7124 |
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| 0.5077 | 4.0 | 24144 | 0.7403 |
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### Framework versions
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adapter_model.safetensors
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runs/Apr10_16-29-50_DESKTOP-5GR7SN9/events.out.tfevents.1712737797.DESKTOP-5GR7SN9.13620.0
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training_args.bin
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