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README.md
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This model is a fine-tuned version of [unsloth/medgemma-4b-it-unsloth-bnb-4bit](https://huggingface.co/unsloth/medgemma-4b-it-unsloth-bnb-4bit) on the imagefolder 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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| 0.0234 | 3.4667 | 52 | 0.
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| 0.0223 | 3.7333 | 56 | 0.
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| 0.0209 | 3.8667 | 58 | 0.
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| 0.0199 | 4.0 | 60 | 0.
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| 0.0194 | 4.1333 | 62 | 0.3050 |
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| 0.0187 | 4.2667 | 64 | 0.
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| 0.0091 | 5.6 | 84 | 0.
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| 0.0083 | 5.7333 | 86 | 0.
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| 0.008 | 5.8667 | 88 | 0.
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### Framework versions
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This model is a fine-tuned version of [unsloth/medgemma-4b-it-unsloth-bnb-4bit](https://huggingface.co/unsloth/medgemma-4b-it-unsloth-bnb-4bit) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1144
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.4505 | 0.1333 | 2 | 6.9109 |
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| 0.413 | 0.2667 | 4 | 5.8505 |
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| 0.3524 | 0.4 | 6 | 5.0933 |
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| 0.3067 | 0.5333 | 8 | 4.4616 |
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| 0.268 | 0.6667 | 10 | 3.9022 |
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| 0.2333 | 0.8 | 12 | 3.3732 |
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| 0.2006 | 0.9333 | 14 | 2.8276 |
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| 0.1669 | 1.0667 | 16 | 2.3019 |
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| 0.1349 | 1.2 | 18 | 1.8597 |
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| 0.1078 | 1.3333 | 20 | 1.5445 |
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| 0.0907 | 1.4667 | 22 | 1.3199 |
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| 0.0786 | 1.6 | 24 | 1.1433 |
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| 0.0679 | 1.7333 | 26 | 0.9538 |
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| 0.0559 | 1.8667 | 28 | 0.8040 |
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| 0.0488 | 2.0 | 30 | 0.7037 |
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| 0.0431 | 2.1333 | 32 | 0.6440 |
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| 0.0394 | 2.2667 | 34 | 0.6086 |
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| 0.0372 | 2.4 | 36 | 0.5814 |
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| 0.036 | 2.5333 | 38 | 0.5506 |
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| 0.0335 | 2.6667 | 40 | 0.5160 |
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| 0.0315 | 2.8 | 42 | 0.4795 |
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| 0.0293 | 2.9333 | 44 | 0.4408 |
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| 0.0267 | 3.0667 | 46 | 0.3978 |
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| 0.0241 | 3.2 | 48 | 0.3642 |
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| 0.0226 | 3.3333 | 50 | 0.3685 |
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| 0.0234 | 3.4667 | 52 | 0.3769 |
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| 0.0232 | 3.6 | 54 | 0.3629 |
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| 0.0223 | 3.7333 | 56 | 0.3403 |
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| 0.0209 | 3.8667 | 58 | 0.3231 |
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| 0.0199 | 4.0 | 60 | 0.3149 |
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| 0.0194 | 4.1333 | 62 | 0.3050 |
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| 0.0187 | 4.2667 | 64 | 0.2897 |
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| 0.0177 | 4.4 | 66 | 0.2734 |
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| 0.0167 | 4.5333 | 68 | 0.2596 |
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| 0.0158 | 4.6667 | 70 | 0.2453 |
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| 0.015 | 4.8 | 72 | 0.2285 |
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| 0.0139 | 4.9333 | 74 | 0.2105 |
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| 0.0127 | 5.0667 | 76 | 0.1926 |
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| 0.0116 | 5.2 | 78 | 0.1769 |
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| 0.0107 | 5.3333 | 80 | 0.1634 |
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| 0.0099 | 5.4667 | 82 | 0.1505 |
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| 0.0091 | 5.6 | 84 | 0.1393 |
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| 0.0083 | 5.7333 | 86 | 0.1307 |
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| 0.008 | 5.8667 | 88 | 0.1248 |
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| 0.0077 | 6.0 | 90 | 0.1208 |
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| 0.0074 | 6.1333 | 92 | 0.1186 |
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| 0.0073 | 6.2667 | 94 | 0.1171 |
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| 0.0071 | 6.4 | 96 | 0.1160 |
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| 0.0071 | 6.5333 | 98 | 0.1154 |
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| 0.007 | 6.6667 | 100 | 0.1147 |
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| 0.0071 | 6.8 | 102 | 0.1146 |
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| 0.007 | 6.9333 | 104 | 0.1144 |
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### Framework versions
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