Instructions to use DeepDream2045/75c6b8a2-5664-4757-9e03-b74341dee1a5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/75c6b8a2-5664-4757-9e03-b74341dee1a5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/75c6b8a2-5664-4757-9e03-b74341dee1a5") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +2 -2
- adapter_config.json +3 -3
- adapter_model.bin +1 -1
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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| Training Loss | Epoch | Step | Validation Loss |
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| 2.036 | 0.0258 | 1 | 1.9737 |
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### Framework versions
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.036 | 0.0258 | 1 | 1.9737 |
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| 1.0068 | 0.6452 | 25 | 1.1055 |
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| 1.44 | 1.2903 | 50 | 1.0584 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"o_proj",
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"k_proj",
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"up_proj",
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"q_proj",
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"
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"down_proj",
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"gate_proj",
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"o_proj",
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"k_proj",
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"q_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.bin
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adapter_model.safetensors
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training_args.bin
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