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  1. README.md +5 -5
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@@ -21,9 +21,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3439
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- - Accuracy: 0.0001
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- - F1: 0.0001
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  ## Model description
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@@ -57,8 +57,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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- | 0.8291 | 0.9778 | 22 | 0.6548 | 0.0004 | 0.0002 |
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- | 0.449 | 1.9556 | 44 | 0.3439 | 0.0001 | 0.0001 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2764
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+ - Accuracy: 0.0262
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+ - F1: 0.0263
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6989 | 0.9778 | 22 | 0.6079 | 0.0001 | 0.0001 |
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+ | 0.3177 | 1.9556 | 44 | 0.2764 | 0.0262 | 0.0263 |
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  ### Framework versions