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Epoch Count: 1
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Step Count: 6,470/6,470
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Batch Size: 2
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Gradient Accumulation Steps: 4
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Context Size: 8192
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Num examples: 51,760
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Trainable Parameters: 41,943,040
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Learning Rate: 0.00001
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Training Loss: 0.960000
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Fined Tuned using: Google Colab Pro (Nvidia T4 runtime)
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Developed by: akumaburn
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License: apache-2.0
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Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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Llama.cpp Options For Testing:
--samplers "tfs;typical;temp" --draft 32 --ctx-size 8192 --temp 0.82 --tfs 0.8 --typical 1.1 --repeat-last-n 512 --batch-size 8192 --repeat-penalty 1.0 --n-gpu-layers 100 --threads 12
This llama model was trained 2x faster with
Unsloth and Huggingface's TRL library.