Merging CLIP models on eight image classification tasks, using the concrete task arithmetic algorithm

```bash
fusion_bench \
    fabric_logger.name=ViT-B-32/concrete_task_arithmetic \
    method=clip_concrete_task_arithmetic \
    modelpool=clip-vit-base-patch32_TA8 \
    taskpool=clip-vit-classification_TA8
```

results

```json
{
    "svhn": {
        "accuracy": 0.903003990650177,
        "loss": 0.37700024247169495
    },
    "stanford_cars": {
        "accuracy": 0.6326327323913574,
        "loss": 1.2553859949111938
    },
    "resisc45": {
        "accuracy": 0.7558730244636536,
        "loss": 1.017554759979248
    },
    "eurosat": {
        "accuracy": 0.9407407641410828,
        "loss": 0.20871955156326294
    },
    "gtsrb": {
        "accuracy": 0.8285035490989685,
        "loss": 0.5861473679542542
    },
    "mnist": {
        "accuracy": 0.9800000190734863,
        "loss": 0.08148527890443802
    },
    "dtd": {
        "accuracy": 0.5249999761581421,
        "loss": 2.2731478214263916
    },
    "sun397": {
        "accuracy": 0.6421158909797668,
        "loss": 1.4108904600143433
    }
}
```