Add support to ClearML logging

[anmarques]

This PR adds support to logging lm-evaluation-harness results to ClearML.

The project and task names must both be provided as arguments in order to enable logging. If the project/task exists, the results will be appended to it, otherwise the corresponding project/task will be created from scratch.

The logging adds:

• an artifact with the complete json output from the harness
• one scalar value for each of the metrics under the "results" key of the json output, pre-appended by the evaluation task name

For instance, for gsm8k, the following artifact is added:

{
    "config": {
        "batch_size": "32",
        "batch_sizes": [],
        "bootstrap_iters": 100000,
        "description_dict": {},
        "device": "cuda:7",
        "limit": null,
        "model": "sparseml",
        "model_args": "pretrained=dense_finetuning/dense_LR1e-4_E4_GC5_extended,dtype=bfloat16",
        "no_cache": true,
        "num_fewshot": 0
    },
    "results": {
        "gsm8k": {
            "acc": 0.0841546626231994,
            "acc_stderr": 0.0076470240466032045
        }
    },
    "versions": {
        "gsm8k": 0
    }
}

and the following values are added the the "Summary" section of the Scalars tab:

gsm8k_acc: 0.0841546626231994
gsm8k_acc_stderr: 0.0076470240466032045