Text Generation
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PyTorch
bloom
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text-generation-inference
Inference Endpoints
bloomz-7b1-p3 / evaluation_bloomz-7b1-p3 /evaluation_val /agg.limited=3000.model=p31lossseqglobal_step1000.task=wmt14_fr_en.templates=xglm-en-fr-target.fewshot=0.batchsize=16.seed=1234.timestamp=2022-09-09T23:48:43.json
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{"results": [{"task_name": "wmt14_fr_en", "prompt_name": "xglm-en-fr-target", "bleu": 2.186171298454336, "fixed_answer_choice_list": null, "dataset_path": "wmt14", "dataset_name": "fr-en", "subset": null, "prompt_id": "2fc841fb-b872-4cc6-9a88-735d6bb7e2e3", "prompt_jinja": "{{translation[\"en\"]}} = French:\n||| {{translation[\"fr\"]}}", "prompt_original_task": true, "comment": "", "bleu_stderr": 0.09641163271059554}], "config": {"model": "hf-causal", "model_args": "pretrained=/gpfsscratch/rech/six/commun/commun/experiments/muennighoff/bloomckpt/6b3t0/p31lossseqglobal_step1000,use_accelerate=True,tokenizer=/gpfsscratch/rech/six/commun/commun/experiments/muennighoff/bloomckpt/6b3t0/p31lossseqglobal_step1000,dtype=float16", "num_fewshot": 0, "batch_size": 16, "device": "cuda", "use_cache": false, "limit": 3000, "bootstrap_iters": 10, "seed": 1234}}