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4e516e8
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Parent(s):
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Upload 15 files
Browse files- all_results.json +548 -0
- config.json +29 -0
- eval_results.json +8 -0
- metrics.json +1 -0
- predict_eval_predictions.jsonl +0 -0
- predict_results.json +538 -0
- predicted_examples.jsonl +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +25 -0
- training_args.bin +3 -0
all_results.json
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| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"eval_global_step": 17980,
|
| 4 |
+
"eval_runtime": 0.0055,
|
| 5 |
+
"eval_samples": 0,
|
| 6 |
+
"eval_samples_per_second": 0.0,
|
| 7 |
+
"eval_steps_per_second": 0.0,
|
| 8 |
+
"predict_exact_match": 34.1176,
|
| 9 |
+
"predict_exact_match_for_answerability_classification": 67.6923,
|
| 10 |
+
"predict_exact_match_for_cause_effect_classification": 51.4286,
|
| 11 |
+
"predict_exact_match_for_coreference_resolution": 45.7143,
|
| 12 |
+
"predict_exact_match_for_data_to_text": 0.0,
|
| 13 |
+
"predict_exact_match_for_dialogue_act_recognition": 51.4286,
|
| 14 |
+
"predict_exact_match_for_grammar_error_correction": 20.0,
|
| 15 |
+
"predict_exact_match_for_keyword_tagging": 44.0,
|
| 16 |
+
"predict_exact_match_for_overlap_extraction": 10.0,
|
| 17 |
+
"predict_exact_match_for_question_rewriting": 0.0,
|
| 18 |
+
"predict_exact_match_for_task020_mctaco_span_based_question": 40.0,
|
| 19 |
+
"predict_exact_match_for_task033_winogrande_answer_generation": 40.0,
|
| 20 |
+
"predict_exact_match_for_task034_winogrande_question_modification_object": 0.0,
|
| 21 |
+
"predict_exact_match_for_task035_winogrande_question_modification_person": 0.0,
|
| 22 |
+
"predict_exact_match_for_task036_qasc_topic_word_to_generate_related_fact": 40.0,
|
| 23 |
+
"predict_exact_match_for_task039_qasc_find_overlapping_words": 20.0,
|
| 24 |
+
"predict_exact_match_for_task050_multirc_answerability": 100.0,
|
| 25 |
+
"predict_exact_match_for_task102_commongen_sentence_generation": 0.0,
|
| 26 |
+
"predict_exact_match_for_task1152_bard_analogical_reasoning_causation": 20.0,
|
| 27 |
+
"predict_exact_match_for_task1153_bard_analogical_reasoning_affordance": 20.0,
|
| 28 |
+
"predict_exact_match_for_task1154_bard_analogical_reasoning_travel": 40.0,
|
| 29 |
+
"predict_exact_match_for_task1155_bard_analogical_reasoning_trash_or_treasure": 100.0,
|
| 30 |
+
"predict_exact_match_for_task1156_bard_analogical_reasoning_tools": 40.0,
|
| 31 |
+
"predict_exact_match_for_task1157_bard_analogical_reasoning_rooms_for_containers": 80.0,
|
| 32 |
+
"predict_exact_match_for_task1158_bard_analogical_reasoning_manipulating_items": 20.0,
|
| 33 |
+
"predict_exact_match_for_task1159_bard_analogical_reasoning_containers": 60.0,
|
| 34 |
+
"predict_exact_match_for_task1161_coda19_title_generation": 0.0,
|
| 35 |
+
"predict_exact_match_for_task1195_disflqa_disfluent_to_fluent_conversion": 0.0,
|
| 36 |
+
"predict_exact_match_for_task121_zest_text_modification": 0.0,
|
| 37 |
+
"predict_exact_match_for_task133_winowhy_reason_plausibility_detection": 20.0,
|
| 38 |
+
"predict_exact_match_for_task1342_amazon_us_reviews_title": 0.0,
|
| 39 |
+
"predict_exact_match_for_task1344_glue_entailment_classification": 40.0,
|
| 40 |
+
"predict_exact_match_for_task1345_glue_qqp_question_paraprashing": 0.0,
|
| 41 |
+
"predict_exact_match_for_task1356_xlsum_title_generation": 0.0,
|
| 42 |
+
"predict_exact_match_for_task1358_xlsum_title_generation": 0.0,
|
| 43 |
+
"predict_exact_match_for_task1385_anli_r1_entailment": 0.0,
|
| 44 |
+
"predict_exact_match_for_task1386_anli_r2_entailment": 0.0,
|
| 45 |
+
"predict_exact_match_for_task1387_anli_r3_entailment": 0.0,
|
| 46 |
+
"predict_exact_match_for_task1388_cb_entailment": 0.0,
|
| 47 |
+
"predict_exact_match_for_task1390_wscfixed_coreference": 60.0,
|
| 48 |
+
"predict_exact_match_for_task1391_winogrande_easy_answer_generation": 100.0,
|
| 49 |
+
"predict_exact_match_for_task1393_superglue_copa_text_completion": 100.0,
|
| 50 |
+
"predict_exact_match_for_task1394_meta_woz_task_classification": 80.0,
|
| 51 |
+
"predict_exact_match_for_task1407_dart_question_generation": 0.0,
|
| 52 |
+
"predict_exact_match_for_task1409_dart_text_generation": 0.0,
|
| 53 |
+
"predict_exact_match_for_task1439_doqa_cooking_isanswerable": 40.0,
|
| 54 |
+
"predict_exact_match_for_task1442_doqa_movies_isanswerable": 80.0,
|
| 55 |
+
"predict_exact_match_for_task1516_imppres_naturallanguageinference": 20.0,
|
| 56 |
+
"predict_exact_match_for_task1529_scitail1.1_classification": 40.0,
|
| 57 |
+
"predict_exact_match_for_task1531_daily_dialog_type_classification": 40.0,
|
| 58 |
+
"predict_exact_match_for_task1533_daily_dialog_formal_classification": 60.0,
|
| 59 |
+
"predict_exact_match_for_task1534_daily_dialog_question_classification": 40.0,
|
| 60 |
+
"predict_exact_match_for_task1540_parsed_pdfs_summarization": 0.0,
|
| 61 |
+
"predict_exact_match_for_task1554_scitail_classification": 40.0,
|
| 62 |
+
"predict_exact_match_for_task1557_jfleg_answer_generation": 20.0,
|
| 63 |
+
"predict_exact_match_for_task1562_zest_text_modification": 0.0,
|
| 64 |
+
"predict_exact_match_for_task1586_scifact_title_generation": 0.0,
|
| 65 |
+
"predict_exact_match_for_task1598_nyc_long_text_generation": 0.0,
|
| 66 |
+
"predict_exact_match_for_task1612_sick_label_classification": 40.0,
|
| 67 |
+
"predict_exact_match_for_task1615_sick_tclassify_b_relation_a": 60.0,
|
| 68 |
+
"predict_exact_match_for_task1622_disfl_qa_text_modication": 0.0,
|
| 69 |
+
"predict_exact_match_for_task1624_disfl_qa_question_yesno_classification": 60.0,
|
| 70 |
+
"predict_exact_match_for_task1631_openpi_answer_generation": 0.0,
|
| 71 |
+
"predict_exact_match_for_task1640_aqa1.0_answerable_unanswerable_question_classification": 100.0,
|
| 72 |
+
"predict_exact_match_for_task1659_title_generation": 0.0,
|
| 73 |
+
"predict_exact_match_for_task1664_winobias_text_generation": 60.0,
|
| 74 |
+
"predict_exact_match_for_task1728_web_nlg_data_to_text": 0.0,
|
| 75 |
+
"predict_exact_match_for_task190_snli_classification": 40.0,
|
| 76 |
+
"predict_exact_match_for_task199_mnli_classification": 100.0,
|
| 77 |
+
"predict_exact_match_for_task200_mnli_entailment_classification": 80.0,
|
| 78 |
+
"predict_exact_match_for_task201_mnli_neutral_classification": 0.0,
|
| 79 |
+
"predict_exact_match_for_task202_mnli_contradiction_classification": 80.0,
|
| 80 |
+
"predict_exact_match_for_task219_rocstories_title_answer_generation": 0.0,
|
| 81 |
+
"predict_exact_match_for_task220_rocstories_title_classification": 100.0,
|
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| 518 |
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| 519 |
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|
| 520 |
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|
| 521 |
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|
| 522 |
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| 523 |
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|
| 524 |
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|
| 525 |
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|
| 526 |
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|
| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
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|
| 531 |
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|
| 532 |
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|
| 533 |
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|
| 534 |
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|
| 535 |
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|
| 536 |
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|
| 537 |
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|
| 538 |
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| 539 |
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|
| 540 |
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|
| 541 |
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|
| 542 |
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|
| 543 |
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| 544 |
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| 545 |
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| 546 |
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|
| 547 |
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"train_steps_per_second": 0.094
|
| 548 |
+
}
|
config.json
ADDED
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| 1 |
+
{
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| 2 |
+
"_name_or_path": "google/t5-xxl-lm-adapt",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"T5ForConditionalGeneration"
|
| 5 |
+
],
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
+
"initializer_factor": 1.0,
|
| 14 |
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"is_encoder_decoder": true,
|
| 15 |
+
"layer_norm_epsilon": 1e-06,
|
| 16 |
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"model_type": "t5",
|
| 17 |
+
"num_decoder_layers": 24,
|
| 18 |
+
"num_heads": 64,
|
| 19 |
+
"num_layers": 24,
|
| 20 |
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"output_past": true,
|
| 21 |
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"pad_token_id": 0,
|
| 22 |
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"relative_attention_max_distance": 128,
|
| 23 |
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"relative_attention_num_buckets": 32,
|
| 24 |
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|
| 25 |
+
"torch_dtype": "float32",
|
| 26 |
+
"transformers_version": "4.18.0",
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"vocab_size": 32100
|
| 29 |
+
}
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eval_results.json
ADDED
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+
{
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+
"epoch": 2.0,
|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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|
metrics.json
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
{"run_name": "retrain-tk-instruct-minus-a-lot-of-data_t5-xxl-lm-adapt", "train_metrics": [{"train_runtime": 191097.123, "train_samples_per_second": 0.753, "train_steps_per_second": 0.094, "train_loss": 0.7423103578629032, "epoch": 2.0, "train_samples": 71917}], "eval_metrics": [{"eval_global_step": 17980, "eval_runtime": 0.0055, "eval_samples_per_second": 0.0, "eval_steps_per_second": 0.0, "epoch": 2.0, "eval_samples": 0}], "test_metrics": [{"predict_loss": 1.446231484413147, "predict_exact_match": 34.1176, "predict_rouge1": 51.3811, "predict_rougeL": 50.4639, "predict_f1": 48.7192, "predict_exact_match_for_task1356_xlsum_title_generation": 0.0, "predict_rouge1_for_task1356_xlsum_title_generation": 18.6667, "predict_rougeL_for_task1356_xlsum_title_generation": 16.0, "predict_f1_for_task1356_xlsum_title_generation": 16.0, "predict_exact_match_for_task893_gap_fill_the_blank_coreference_resolution": 100.0, "predict_rouge1_for_task893_gap_fill_the_blank_coreference_resolution": 100.0, 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|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"predict_exact_match": 34.1176,
|
| 4 |
+
"predict_exact_match_for_answerability_classification": 67.6923,
|
| 5 |
+
"predict_exact_match_for_cause_effect_classification": 51.4286,
|
| 6 |
+
"predict_exact_match_for_coreference_resolution": 45.7143,
|
| 7 |
+
"predict_exact_match_for_data_to_text": 0.0,
|
| 8 |
+
"predict_exact_match_for_dialogue_act_recognition": 51.4286,
|
| 9 |
+
"predict_exact_match_for_grammar_error_correction": 20.0,
|
| 10 |
+
"predict_exact_match_for_keyword_tagging": 44.0,
|
| 11 |
+
"predict_exact_match_for_overlap_extraction": 10.0,
|
| 12 |
+
"predict_exact_match_for_question_rewriting": 0.0,
|
| 13 |
+
"predict_exact_match_for_task020_mctaco_span_based_question": 40.0,
|
| 14 |
+
"predict_exact_match_for_task033_winogrande_answer_generation": 40.0,
|
| 15 |
+
"predict_exact_match_for_task034_winogrande_question_modification_object": 0.0,
|
| 16 |
+
"predict_exact_match_for_task035_winogrande_question_modification_person": 0.0,
|
| 17 |
+
"predict_exact_match_for_task036_qasc_topic_word_to_generate_related_fact": 40.0,
|
| 18 |
+
"predict_exact_match_for_task039_qasc_find_overlapping_words": 20.0,
|
| 19 |
+
"predict_exact_match_for_task050_multirc_answerability": 100.0,
|
| 20 |
+
"predict_exact_match_for_task102_commongen_sentence_generation": 0.0,
|
| 21 |
+
"predict_exact_match_for_task1152_bard_analogical_reasoning_causation": 20.0,
|
| 22 |
+
"predict_exact_match_for_task1153_bard_analogical_reasoning_affordance": 20.0,
|
| 23 |
+
"predict_exact_match_for_task1154_bard_analogical_reasoning_travel": 40.0,
|
| 24 |
+
"predict_exact_match_for_task1155_bard_analogical_reasoning_trash_or_treasure": 100.0,
|
| 25 |
+
"predict_exact_match_for_task1156_bard_analogical_reasoning_tools": 40.0,
|
| 26 |
+
"predict_exact_match_for_task1157_bard_analogical_reasoning_rooms_for_containers": 80.0,
|
| 27 |
+
"predict_exact_match_for_task1158_bard_analogical_reasoning_manipulating_items": 20.0,
|
| 28 |
+
"predict_exact_match_for_task1159_bard_analogical_reasoning_containers": 60.0,
|
| 29 |
+
"predict_exact_match_for_task1161_coda19_title_generation": 0.0,
|
| 30 |
+
"predict_exact_match_for_task1195_disflqa_disfluent_to_fluent_conversion": 0.0,
|
| 31 |
+
"predict_exact_match_for_task121_zest_text_modification": 0.0,
|
| 32 |
+
"predict_exact_match_for_task133_winowhy_reason_plausibility_detection": 20.0,
|
| 33 |
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"predict_exact_match_for_task1342_amazon_us_reviews_title": 0.0,
|
| 34 |
+
"predict_exact_match_for_task1344_glue_entailment_classification": 40.0,
|
| 35 |
+
"predict_exact_match_for_task1345_glue_qqp_question_paraprashing": 0.0,
|
| 36 |
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"predict_exact_match_for_task1356_xlsum_title_generation": 0.0,
|
| 37 |
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"predict_exact_match_for_task1358_xlsum_title_generation": 0.0,
|
| 38 |
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"predict_exact_match_for_task1385_anli_r1_entailment": 0.0,
|
| 39 |
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"predict_exact_match_for_task1386_anli_r2_entailment": 0.0,
|
| 40 |
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"predict_exact_match_for_task1387_anli_r3_entailment": 0.0,
|
| 41 |
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"predict_exact_match_for_task1388_cb_entailment": 0.0,
|
| 42 |
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"predict_exact_match_for_task1390_wscfixed_coreference": 60.0,
|
| 43 |
+
"predict_exact_match_for_task1391_winogrande_easy_answer_generation": 100.0,
|
| 44 |
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"predict_exact_match_for_task1393_superglue_copa_text_completion": 100.0,
|
| 45 |
+
"predict_exact_match_for_task1394_meta_woz_task_classification": 80.0,
|
| 46 |
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"predict_exact_match_for_task1407_dart_question_generation": 0.0,
|
| 47 |
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"predict_exact_match_for_task1409_dart_text_generation": 0.0,
|
| 48 |
+
"predict_exact_match_for_task1439_doqa_cooking_isanswerable": 40.0,
|
| 49 |
+
"predict_exact_match_for_task1442_doqa_movies_isanswerable": 80.0,
|
| 50 |
+
"predict_exact_match_for_task1516_imppres_naturallanguageinference": 20.0,
|
| 51 |
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"predict_exact_match_for_task1529_scitail1.1_classification": 40.0,
|
| 52 |
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"predict_exact_match_for_task1531_daily_dialog_type_classification": 40.0,
|
| 53 |
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"predict_exact_match_for_task1533_daily_dialog_formal_classification": 60.0,
|
| 54 |
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"predict_exact_match_for_task1534_daily_dialog_question_classification": 40.0,
|
| 55 |
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"predict_exact_match_for_task1540_parsed_pdfs_summarization": 0.0,
|
| 56 |
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"predict_exact_match_for_task1554_scitail_classification": 40.0,
|
| 57 |
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"predict_exact_match_for_task1557_jfleg_answer_generation": 20.0,
|
| 58 |
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"predict_exact_match_for_task1562_zest_text_modification": 0.0,
|
| 59 |
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"predict_exact_match_for_task1586_scifact_title_generation": 0.0,
|
| 60 |
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"predict_exact_match_for_task1598_nyc_long_text_generation": 0.0,
|
| 61 |
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"predict_exact_match_for_task1612_sick_label_classification": 40.0,
|
| 62 |
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"predict_exact_match_for_task1615_sick_tclassify_b_relation_a": 60.0,
|
| 63 |
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"predict_exact_match_for_task1622_disfl_qa_text_modication": 0.0,
|
| 64 |
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"predict_exact_match_for_task1624_disfl_qa_question_yesno_classification": 60.0,
|
| 65 |
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"predict_exact_match_for_task1631_openpi_answer_generation": 0.0,
|
| 66 |
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"predict_exact_match_for_task1640_aqa1.0_answerable_unanswerable_question_classification": 100.0,
|
| 67 |
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"predict_exact_match_for_task1659_title_generation": 0.0,
|
| 68 |
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"predict_exact_match_for_task1664_winobias_text_generation": 60.0,
|
| 69 |
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"predict_exact_match_for_task1728_web_nlg_data_to_text": 0.0,
|
| 70 |
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"predict_exact_match_for_task190_snli_classification": 40.0,
|
| 71 |
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"predict_exact_match_for_task199_mnli_classification": 100.0,
|
| 72 |
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"predict_exact_match_for_task200_mnli_entailment_classification": 80.0,
|
| 73 |
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"predict_exact_match_for_task201_mnli_neutral_classification": 0.0,
|
| 74 |
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"predict_exact_match_for_task202_mnli_contradiction_classification": 80.0,
|
| 75 |
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"predict_exact_match_for_task219_rocstories_title_answer_generation": 0.0,
|
| 76 |
+
"predict_exact_match_for_task220_rocstories_title_classification": 100.0,
|
| 77 |
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"predict_exact_match_for_task226_english_language_answer_relevance_classification": 40.0,
|
| 78 |
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"predict_exact_match_for_task232_iirc_link_number_classification": 60.0,
|
| 79 |
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"predict_exact_match_for_task233_iirc_link_exists_classification": 40.0,
|
| 80 |
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"predict_exact_match_for_task242_tweetqa_classification": 80.0,
|
| 81 |
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"predict_exact_match_for_task249_enhanced_wsc_pronoun_disambiguation": 20.0,
|
| 82 |
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"predict_exact_match_for_task281_points_of_correspondence": 0.0,
|
| 83 |
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"predict_exact_match_for_task288_gigaword_summarization": 0.0,
|
| 84 |
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"predict_exact_match_for_task290_tellmewhy_question_answerability": 60.0,
|
| 85 |
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"predict_exact_match_for_task304_numeric_fused_head_resolution": 0.0,
|
| 86 |
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"predict_exact_match_for_task329_gap_classification": 60.0,
|
| 87 |
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"predict_exact_match_for_task330_gap_answer_generation": 80.0,
|
| 88 |
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"predict_exact_match_for_task349_squad2.0_answerable_unanswerable_question_classification": 80.0,
|
| 89 |
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"predict_exact_match_for_task362_spolin_yesand_prompt_response_sub_classification": 20.0,
|
| 90 |
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"predict_exact_match_for_task391_causal_relationship": 40.0,
|
| 91 |
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"predict_exact_match_for_task392_inverse_causal_relationship": 80.0,
|
| 92 |
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"predict_exact_match_for_task393_plausible_result_generation": 0.0,
|
| 93 |
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