Transformers
Safetensors
qlora
finetuned
vishalgimhan commited on
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Update model card README with dataset link

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  1. README.md +6 -3
README.md CHANGED
@@ -1,9 +1,12 @@
 
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  ---
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  license: apache-2.0
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  tags:
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  - qlora
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  - finetuned
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  - transformers
 
 
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  ---
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  # Uber-assistant QLoRA Adapter
@@ -14,7 +17,7 @@ This is a LoRA adapter finetuned on Uber Annual Report 2024
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  meta-llama/Llama-3.1-8B-Instruct
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  ## Dataset
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- Uber Annual Report 2024
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  ## Training Hyperparameters
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  - LoRA rank: 16
@@ -31,8 +34,8 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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  from peft import PeftModel
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  base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct")
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- model = PeftModel.from_pretrained(base_model, "path/to/adapter")
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- tokenizer = AutoTokenizer.from_pretrained("path/to/adapter")
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  ```
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  ## License & Attribution
 
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+
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  ---
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  license: apache-2.0
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  tags:
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  - qlora
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  - finetuned
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  - transformers
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+ datasets:
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+ - vishalgimhan/uber-report-2024-dataset
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  ---
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  # Uber-assistant QLoRA Adapter
 
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  meta-llama/Llama-3.1-8B-Instruct
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  ## Dataset
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+ Finetuned using the [Uber Annual Report 2024 Dataset](https://huggingface.co/datasets/vishalgimhan/uber-report-2024-dataset)
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  ## Training Hyperparameters
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  - LoRA rank: 16
 
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  from peft import PeftModel
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  base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct")
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+ model = PeftModel.from_pretrained(base_model, "vishalgimhan/uber-assistant")
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+ tokenizer = AutoTokenizer.from_pretrained("vishalgimhan/uber-assistant")
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  ```
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  ## License & Attribution