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automated-research-group/phi-winogrande_inverted_option-results

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Hugging Face2023-11-26 更新2024-03-04 收录
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--- dataset_info: - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.95}' features: - 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name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.8}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.95}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.9}' features: - name: id dtype: 'null' - name: prediction dtype: 'null' - name: likelihood dtype: 'null' - name: perplexity dtype: 'null' - name: accuracy dtype: 'null' splits: - name: train num_bytes: 0 num_examples: 0 download_size: 1342 dataset_size: 0 configs: - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=1, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=10, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=100, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=1000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.9, ''top_k''=10000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=100, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=1000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=0.95, ''top_k''=10000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=100, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=1000, ''top_p''=0.9}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.8}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.8}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.95}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.95}/train-*' - config_name: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.9}' data_files: - split: train path: '{''do_sample''=True, ''beams''=5, ''temperature''=1.0, ''top_k''=10000, ''top_p''=0.9}/train-*' --- # Dataset Card for "phi-winogrande_inverted_option-results" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构：
automated-research-group
原始信息汇总

数据集概述

数据集配置

该数据集包含多个配置，每个配置具有不同的参数设置，包括采样策略、温度、top-k 和 top-p 值。以下是部分配置的详细信息：

  • 配置1:

    • 参数: do_sample=True, beams=1, temperature=0.9, top_k=100, top_p=0.8
    • 特征:
      • id: 数据类型为 null
      • prediction: 数据类型为 null
      • likelihood: 数据类型为 null
      • perplexity: 数据类型为 null
      • accuracy: 数据类型为 null
    • 分割:
      • train: 字节数为 0，样本数为 0
    • 下载大小: 1342 字节
    • 数据集大小: 0 字节

  • 配置2:

    • 参数: do_sample=True, beams=1, temperature=0.9, top_k=100, top_p=0.95
    • 特征:
      • id: 数据类型为 null
      • prediction: 数据类型为 null
      • likelihood: 数据类型为 null
      • perplexity: 数据类型为 null
      • accuracy: 数据类型为 null
    • 分割:
      • train: 字节数为 0，样本数为 0
    • 下载大小: 1342 字节
    • 数据集大小: 0 字节

  • 配置3:

    • 参数: do_sample=True, beams=1, temperature=0.9, top_k=100, top_p=0.9
    • 特征:
      • id: 数据类型为 null
      • prediction: 数据类型为 null
      • likelihood: 数据类型为 null
      • perplexity: 数据类型为 null
      • accuracy: 数据类型为 null
    • 分割:
      • train: 字节数为 0，样本数为 0
    • 下载大小: 1342 字节
    • 数据集大小: 0 字节

数据集特征

每个配置包含以下特征：

  • id: 数据类型为 null
  • prediction: 数据类型为 null
  • likelihood: 数据类型为 null
  • perplexity: 数据类型为 null
  • accuracy: 数据类型为 null

数据集分割

每个配置包含一个训练集分割：

  • train: 字节数为 0，样本数为 0

数据集大小

每个配置的下载大小为 1342 字节，数据集大小为 0 字节。

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