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Model: CorticalStack/gemma-7b-ultrachat-sft
Source: Original Platform

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.ipynb_checkpoints/README-checkpoint.md

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+---
+license: apache-2.0
+---
+
+# gemma-7b-ultrachat-sft
+
+gemma-7b-ultrachat-sft is an SFT fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) using the [stingning/ultrachat](https://huggingface.co/datasets/stingning/ultrachat) dataset.
+
+## Fine-tuning configuration
+### LoRA
+- r: 8
+- LoRA alpha: 16
+- LoRA dropout: 0.1
+
+### Training arguments
+- Epochs: 1
+- Batch size: 4
+- Gradient accumulation steps: 6
+- Optimizer: paged_adamw_32bit
+- Max steps: 100
+- Learning rate: 0.0002
+- Weight decay: 0.001
+- Learning rate scheduler type: constant
+- Max seq length: 2048
+
+Trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

.ipynb_checkpoints/config-checkpoint.json

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+  "transformers_version": "4.38.0",
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+  "vocab_size": 256000
+}

README.md

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+---
+license: apache-2.0
+---
+
+# gemma-7b-ultrachat-sft
+
+gemma-7b-ultrachat-sft is an SFT fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) using the [stingning/ultrachat](https://huggingface.co/datasets/stingning/ultrachat) dataset.
+
+## Fine-tuning configuration
+### LoRA
+- LoRA r: 8
+- LoRA alpha: 16
+- LoRA dropout: 0.1
+
+### Training arguments
+- Epochs: 1
+- Batch size: 4
+- Gradient accumulation steps: 6
+- Optimizer: paged_adamw_32bit
+- Max steps: 100
+- Learning rate: 0.0002
+- Weight decay: 0.001
+- Learning rate scheduler type: constant
+- Max seq length: 2048

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+  "transformers_version": "4.38.0",
+  "use_cache": true,
+  "vocab_size": 256000
+}

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