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End of training

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  1. README.md +108 -108
  2. adapter.fr.safetensors +3 -0
  3. model.safetensors +1 -1
  4. training_args.bin +2 -2
README.md CHANGED
@@ -9,21 +9,21 @@ metrics:
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  - bleu
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  - rouge
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  model-index:
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- - name: baseline_kabyle_sans_target_copy
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # baseline_kabyle_sans_target_copy
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  This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3300
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- - Wer: 0.4544
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- - Bleu: {'bleu': 0.3304851497144104, 'precisions': [0.5629466739967015, 0.38599435502326646, 0.2757586147779873, 0.19908131352619235], 'brevity_penalty': 1.0, 'length_ratio': 1.1015897047691143, 'translation_length': 14552, 'reference_length': 13210}
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- - Rouge: {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693}
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  ## Model description
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@@ -56,108 +56,108 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu | Rouge |
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- |:-------------:|:-------:|:-----:|:---------------:|:------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|
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- | No log | 1.0 | 106 | 0.9667 | 0.9487 | {'bleu': 0.0, 'precisions': [0.056907709622960045, 0.005558600172238315, 0.000441306266548985, 0.0], 'brevity_penalty': 1.0, 'length_ratio': 1.0761544284632854, 'translation_length': 14216, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | No log | 2.0 | 212 | 0.4176 | 0.6724 | {'bleu': 0.10625881894558567, 'precisions': [0.33676182479708927, 0.14732664020546346, 0.07119060143783973, 0.0360938439943854], 'brevity_penalty': 1.0, 'length_ratio': 1.081907645722937, 'translation_length': 14292, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | No log | 3.0 | 318 | 0.3775 | 0.6512 | {'bleu': 0.11776378351806044, 'precisions': [0.3562080188352607, 0.16164025234651486, 0.08031155344006924, 0.04159257063821379], 'brevity_penalty': 1.0, 'length_ratio': 1.0931869795609386, 'translation_length': 14441, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | No log | 4.0 | 424 | 0.3567 | 0.6431 | {'bleu': 0.1450928802240125, 'precisions': [0.36787637228165865, 0.18525431637890807, 0.10503723171265879, 0.061911440593067524], 'brevity_penalty': 1.0, 'length_ratio': 1.0825889477668433, 'translation_length': 14301, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 1.6921 | 5.0 | 530 | 0.3381 | 0.6328 | {'bleu': 0.15019091561035408, 'precisions': [0.3790065214374913, 0.1921208850512682, 0.10851839000693962, 0.06439468991480087], 'brevity_penalty': 1.0, 'length_ratio': 1.0911430734292202, 'translation_length': 14414, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 1.6921 | 6.0 | 636 | 0.3306 | 0.6240 | {'bleu': 0.1498806312492856, 'precisions': [0.3864984140118604, 0.19534420706026495, 0.10752410468319559, 0.062162427575370716], 'brevity_penalty': 1.0, 'length_ratio': 1.0978046934140802, 'translation_length': 14502, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 1.6921 | 7.0 | 742 | 0.3257 | 0.6240 | {'bleu': 0.16749724280690337, 'precisions': [0.3874825174825175, 0.20712452360581785, 0.12423339758191694, 0.07894209577239031], 'brevity_penalty': 1.0, 'length_ratio': 1.0825132475397425, 'translation_length': 14300, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 1.6921 | 8.0 | 848 | 0.3285 | 0.6117 | {'bleu': 0.15122750690196496, 'precisions': [0.39778393351800556, 0.20066169115949833, 0.10732213951878138, 0.06105512744516894], 'brevity_penalty': 1.0, 'length_ratio': 1.093111279333838, 'translation_length': 14440, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 1.6921 | 9.0 | 954 | 0.3078 | 0.6068 | {'bleu': 0.17011315398726728, 'precisions': [0.4037817471392688, 0.21452401272402824, 0.12589550934824392, 0.07679249051328141], 'brevity_penalty': 1.0, 'length_ratio': 1.0849356548069644, 'translation_length': 14332, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.435 | 10.0 | 1060 | 0.3013 | 0.5811 | {'bleu': 0.17122092075755774, 'precisions': [0.427158273381295, 0.2260816106969953, 0.12359550561797752, 0.0720063128822253], 'brevity_penalty': 1.0, 'length_ratio': 1.094322482967449, 'translation_length': 14456, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.435 | 11.0 | 1166 | 0.3021 | 0.6038 | {'bleu': 0.1827621996373948, 'precisions': [0.4044835648466511, 0.22276509657225743, 0.1380404941660947, 0.08969969676220288], 'brevity_penalty': 1.0, 'length_ratio': 1.1008327024981075, 'translation_length': 14542, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.435 | 12.0 | 1272 | 0.2902 | 0.5627 | {'bleu': 0.19951203392964884, 'precisions': [0.448223209328151, 0.25113767836482837, 0.15092865821905918, 0.09326065411298315], 'brevity_penalty': 1.0, 'length_ratio': 1.0906888720666161, 'translation_length': 14408, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.435 | 13.0 | 1378 | 0.2849 | 0.5676 | {'bleu': 0.20264640978922904, 'precisions': [0.4454456552109528, 0.2538646780082343, 0.15450568678915136, 0.09651930386077215], 'brevity_penalty': 1.0, 'length_ratio': 1.0837244511733535, 'translation_length': 14316, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.435 | 14.0 | 1484 | 0.3012 | 0.5514 | {'bleu': 0.21088514358328722, 'precisions': [0.4592842860097911, 0.2647013782542113, 0.16054058707067229, 0.10133542812254517], 'brevity_penalty': 1.0, 'length_ratio': 1.097880393641181, 'translation_length': 14503, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.3723 | 15.0 | 1590 | 0.2874 | 0.5421 | {'bleu': 0.22129598752942345, 'precisions': [0.47020188053097345, 0.2745564856769833, 0.16980480221109, 0.10940272028385571], 'brevity_penalty': 1.0, 'length_ratio': 1.0949280847842544, 'translation_length': 14464, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.3723 | 16.0 | 1696 | 0.2793 | 0.5346 | {'bleu': 0.23942091695612744, 'precisions': [0.4785072563925363, 0.2905503953327704, 0.18905386740331492, 0.1250123140577283], 'brevity_penalty': 1.0, 'length_ratio': 1.0953822861468585, 'translation_length': 14470, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.3723 | 17.0 | 1802 | 0.2947 | 0.5476 | {'bleu': 0.2157776906765856, 'precisions': [0.46481979188202055, 0.2711968166513621, 0.1664516129032258, 0.10331632653061225], 'brevity_penalty': 1.0, 'length_ratio': 1.0984859954579864, 'translation_length': 14511, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.3723 | 18.0 | 1908 | 0.2908 | 0.5310 | {'bleu': 0.22818988897659873, 'precisions': [0.48314762267284933, 0.2860218360756574, 0.17590590677159906, 0.11153884118053499], 'brevity_penalty': 1.0, 'length_ratio': 1.093792581377744, 'translation_length': 14449, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.3279 | 19.0 | 2014 | 0.2812 | 0.5196 | {'bleu': 0.2524478824952918, 'precisions': [0.49611603767099743, 0.3051739926739927, 0.19998284881228026, 0.134141572154869], 'brevity_penalty': 1.0, 'length_ratio': 1.1012112036336108, 'translation_length': 14547, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.3279 | 20.0 | 2120 | 0.2737 | 0.5326 | {'bleu': 0.23194477430896115, 'precisions': [0.483340217540961, 0.2874722922877016, 0.179553264604811, 0.11601019008426416], 'brevity_penalty': 1.0, 'length_ratio': 1.0996214988644966, 'translation_length': 14526, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.3279 | 21.0 | 2226 | 0.2868 | 0.5258 | {'bleu': 0.24141463770041266, 'precisions': [0.4869193069648651, 0.2974547684759276, 0.19032841996379624, 0.12321762218507228], 'brevity_penalty': 1.0, 'length_ratio': 1.09666919000757, 'translation_length': 14487, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.3279 | 22.0 | 2332 | 0.2785 | 0.5164 | {'bleu': 0.25195135672945107, 'precisions': [0.4995503908141385, 0.30935915168280315, 0.20058767608676864, 0.12999309596607161], 'brevity_penalty': 1.0, 'length_ratio': 1.0943981831945495, 'translation_length': 14457, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.3279 | 23.0 | 2438 | 0.2859 | 0.5149 | {'bleu': 0.2534937082134097, 'precisions': [0.5006899406651028, 0.3091717109800015, 0.20106822880771882, 0.13266509433962265], 'brevity_penalty': 1.0, 'length_ratio': 1.0971990915972747, 'translation_length': 14494, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.299 | 24.0 | 2544 | 0.2739 | 0.5069 | {'bleu': 0.2701767964972912, 'precisions': [0.5073325954620919, 0.3245216322139399, 0.21771823681936042, 0.14864864864864866], 'brevity_penalty': 1.0, 'length_ratio': 1.094322482967449, 'translation_length': 14456, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.299 | 25.0 | 2650 | 0.2785 | 0.5251 | {'bleu': 0.2508539055762563, 'precisions': [0.493896910092767, 0.3066542577943229, 0.19814863330713475, 0.1319492963369598], 'brevity_penalty': 1.0, 'length_ratio': 1.0853141559424677, 'translation_length': 14337, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
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- | 0.299 | 26.0 | 2756 | 0.2765 | 0.4949 | {'bleu': 0.27780783623684363, 'precisions': [0.5206611570247934, 0.3361627284545385, 0.22425648959944988, 0.15174982844819135], 'brevity_penalty': 1.0, 'length_ratio': 1.0991672975018925, 'translation_length': 14520, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.299 | 27.0 | 2862 | 0.2766 | 0.4910 | {'bleu': 0.2816699107692348, 'precisions': [0.5247375283057709, 0.3386900228484387, 0.228287841191067, 0.1551438322769381], 'brevity_penalty': 1.0, 'length_ratio': 1.1031794095382286, 'translation_length': 14573, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.299 | 28.0 | 2968 | 0.2810 | 0.5032 | {'bleu': 0.2727987254975725, 'precisions': [0.511282295998364, 0.3258732799032209, 0.21980819825171857, 0.1512223403227365], 'brevity_penalty': 1.0, 'length_ratio': 1.110446631339894, 'translation_length': 14669, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2706 | 29.0 | 3074 | 0.2732 | 0.4931 | {'bleu': 0.2905577652720203, 'precisions': [0.5250973303670745, 0.34487288463024496, 0.2364759088537137, 0.1664348171701113], 'brevity_penalty': 1.0, 'length_ratio': 1.0888720666162, 'translation_length': 14384, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2706 | 30.0 | 3180 | 0.2899 | 0.4986 | {'bleu': 0.27490450540172295, 'precisions': [0.5185083817995211, 0.3299423018524142, 0.22116122431579846, 0.1509470616804274], 'brevity_penalty': 1.0, 'length_ratio': 1.1063588190764573, 'translation_length': 14615, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2706 | 31.0 | 3286 | 0.2709 | 0.4770 | {'bleu': 0.29856907971690344, 'precisions': [0.5376550400877133, 0.35429657794676805, 0.2444691210386948, 0.17064148739413998], 'brevity_penalty': 1.0, 'length_ratio': 1.1046934140802422, 'translation_length': 14593, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2706 | 32.0 | 3392 | 0.2707 | 0.4834 | {'bleu': 0.2953261697723721, 'precisions': [0.533453137959635, 0.352168905950096, 0.2404593334484545, 0.16839097448024437], 'brevity_penalty': 1.0, 'length_ratio': 1.0952308856926571, 'translation_length': 14468, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
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- | 0.2706 | 33.0 | 3498 | 0.2908 | 0.5036 | {'bleu': 0.2663726365857405, 'precisions': [0.511312530270532, 0.32144504227517295, 0.21276043918042709, 0.14397079139530294], 'brevity_penalty': 1.0, 'length_ratio': 1.0940953822861468, 'translation_length': 14453, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2513 | 34.0 | 3604 | 0.2753 | 0.4755 | {'bleu': 0.3024915870772061, 'precisions': [0.5405479829271651, 0.3590155163188871, 0.24836769759450172, 0.17370432056431862], 'brevity_penalty': 1.0, 'length_ratio': 1.0996214988644966, 'translation_length': 14526, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2513 | 35.0 | 3710 | 0.2826 | 0.4930 | {'bleu': 0.2797826324378019, 'precisions': [0.5237175951461666, 0.33603858816323406, 0.22533998967119986, 0.15451065082948856], 'brevity_penalty': 1.0, 'length_ratio': 1.0979560938682815, 'translation_length': 14504, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
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- | 0.2513 | 36.0 | 3816 | 0.2831 | 0.4821 | {'bleu': 0.290587546085915, 'precisions': [0.5336372427130819, 0.34944380514000767, 0.23628364389233955, 0.16182695147160153], 'brevity_penalty': 1.0, 'length_ratio': 1.095987887963664, 'translation_length': 14478, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2513 | 37.0 | 3922 | 0.2828 | 0.4782 | {'bleu': 0.2998307607023687, 'precisions': [0.53769608181881, 0.3563094872582131, 0.24583513163573587, 0.17159180457052797], 'brevity_penalty': 1.0, 'length_ratio': 1.095457986373959, 'translation_length': 14471, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2323 | 38.0 | 4028 | 0.2842 | 0.4785 | {'bleu': 0.30032010721069907, 'precisions': [0.5376669880181794, 0.3575196880495451, 0.24604675146098315, 0.17199137593100744], 'brevity_penalty': 1.0, 'length_ratio': 1.0993186979560938, 'translation_length': 14522, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2323 | 39.0 | 4134 | 0.2827 | 0.4764 | {'bleu': 0.3003364457627934, 'precisions': [0.5391268533772653, 0.3562666666666667, 0.24696113679164527, 0.17152892965167332], 'brevity_penalty': 1.0, 'length_ratio': 1.1028009084027253, 'translation_length': 14568, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
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- | 0.2323 | 40.0 | 4240 | 0.2918 | 0.4924 | {'bleu': 0.2810271547968192, 'precisions': [0.5239733094861388, 0.3370245914159157, 0.22796326495579777, 0.1549378486835666], 'brevity_penalty': 1.0, 'length_ratio': 1.1004542013626042, 'translation_length': 14537, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2323 | 41.0 | 4346 | 0.2887 | 0.4829 | {'bleu': 0.2892434084679841, 'precisions': [0.531514193415355, 0.34732183732641536, 0.2345022721426734, 0.1616813294232649], 'brevity_penalty': 1.0, 'length_ratio': 1.1013626040878122, 'translation_length': 14549, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2323 | 42.0 | 4452 | 0.2830 | 0.4734 | {'bleu': 0.3039499922078433, 'precisions': [0.5427570574902122, 0.36085696858798416, 0.24955024415317398, 0.17462642836214473], 'brevity_penalty': 1.0, 'length_ratio': 1.102119606358819, 'translation_length': 14559, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
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- | 0.2188 | 43.0 | 4558 | 0.2870 | 0.4845 | {'bleu': 0.28999202018304937, 'precisions': [0.5329621227744552, 0.3478327228327228, 0.23557156333076065, 0.1619401525523176], 'brevity_penalty': 1.0, 'length_ratio': 1.1012112036336108, 'translation_length': 14547, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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- | 0.2188 | 44.0 | 4664 | 0.2872 | 0.4754 | {'bleu': 0.3072650978682605, 'precisions': [0.5410298774611042, 0.36146143850798745, 0.25309278350515463, 0.18009014305310603], 'brevity_penalty': 1.0, 'length_ratio': 1.0996214988644966, 'translation_length': 14526, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
105
- | 0.2188 | 45.0 | 4770 | 0.2981 | 0.4880 | {'bleu': 0.29450630566128444, 'precisions': [0.5278408699841696, 0.3475469967904631, 0.2414326204586447, 0.1698501322362621], 'brevity_penalty': 1.0, 'length_ratio': 1.0998485995457987, 'translation_length': 14529, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
106
- | 0.2188 | 46.0 | 4876 | 0.3082 | 0.4912 | {'bleu': 0.28537676720392025, 'precisions': [0.5250017242568453, 0.3400735294117647, 0.2324119521226212, 0.159838883976815], 'brevity_penalty': 1.0, 'length_ratio': 1.0975775927327782, 'translation_length': 14499, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
107
- | 0.2188 | 47.0 | 4982 | 0.3059 | 0.4920 | {'bleu': 0.2815963604272895, 'precisions': [0.520885028949545, 0.3354764638346728, 0.2278437446222681, 0.15793089909697683], 'brevity_penalty': 1.0, 'length_ratio': 1.0982588947766843, 'translation_length': 14508, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
108
- | 0.2061 | 48.0 | 5088 | 0.2959 | 0.4736 | {'bleu': 0.3052681437803712, 'precisions': [0.5394321766561514, 0.3586269883552782, 0.2500854993160055, 0.17949717404014812], 'brevity_penalty': 1.0, 'length_ratio': 1.1038607115821348, 'translation_length': 14582, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
109
- | 0.2061 | 49.0 | 5194 | 0.2868 | 0.4719 | {'bleu': 0.3050000146287494, 'precisions': [0.5431206552412416, 0.3605379795200978, 0.2502791376792923, 0.17657428263637254], 'brevity_penalty': 1.0, 'length_ratio': 1.0998485995457987, 'translation_length': 14529, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
110
- | 0.2061 | 50.0 | 5300 | 0.2965 | 0.4673 | {'bleu': 0.31695229086128907, 'precisions': [0.5498350288699477, 0.370927127050744, 0.26196192762819415, 0.18889323425889715], 'brevity_penalty': 1.0, 'length_ratio': 1.1012869038607116, 'translation_length': 14548, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
111
- | 0.2061 | 51.0 | 5406 | 0.2932 | 0.4685 | {'bleu': 0.3169340335274348, 'precisions': [0.5475896168108776, 0.3714459943593262, 0.263103802672148, 0.18853739504003125], 'brevity_penalty': 1.0, 'length_ratio': 1.1023467070401212, 'translation_length': 14562, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
112
- | 0.1953 | 52.0 | 5512 | 0.2980 | 0.4703 | {'bleu': 0.30862597712853457, 'precisions': [0.5459116897430598, 0.3642343582683188, 0.25440632791677414, 0.179348891939596], 'brevity_penalty': 1.0, 'length_ratio': 1.0989401968205905, 'translation_length': 14517, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
113
- | 0.1953 | 53.0 | 5618 | 0.2907 | 0.4660 | {'bleu': 0.31450995783489116, 'precisions': [0.5497799779977998, 0.3694374475230898, 0.2598215817464402, 0.18540973987874046], 'brevity_penalty': 1.0, 'length_ratio': 1.1009841029523089, 'translation_length': 14544, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
114
- | 0.1953 | 54.0 | 5724 | 0.2964 | 0.4655 | {'bleu': 0.3091129279744492, 'precisions': [0.549055829228243, 0.36658316252941625, 0.2548167092924126, 0.1780130134990774], 'brevity_penalty': 1.0, 'length_ratio': 1.1064345193035579, 'translation_length': 14616, 'reference_length': 13210} | {'rouge1': 0.000462000462000462, 'rouge2': 0.0, 'rougeL': 0.000462000462000462, 'rougeLsum': 0.000462000462000462} |
115
- | 0.1953 | 55.0 | 5830 | 0.3043 | 0.4689 | {'bleu': 0.3100430620542407, 'precisions': [0.5470438433477872, 0.36428243924805137, 0.25491711758137936, 0.18189832500734646], 'brevity_penalty': 1.0, 'length_ratio': 1.0998485995457987, 'translation_length': 14529, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
116
- | 0.1953 | 56.0 | 5936 | 0.2953 | 0.4621 | {'bleu': 0.3177578762736204, 'precisions': [0.5543403494290824, 0.371897670866743, 0.26235839340885686, 0.18849089841456254], 'brevity_penalty': 1.0, 'length_ratio': 1.1005299015897048, 'translation_length': 14538, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
117
- | 0.1854 | 57.0 | 6042 | 0.2983 | 0.4577 | {'bleu': 0.32553472762690394, 'precisions': [0.5576777739608382, 0.3807962172056132, 0.2710600736995458, 0.19509574052364204], 'brevity_penalty': 1.0, 'length_ratio': 1.1018168054504163, 'translation_length': 14555, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
118
- | 0.1854 | 58.0 | 6148 | 0.2950 | 0.4662 | {'bleu': 0.3150549597648921, 'precisions': [0.5487394380710311, 0.36929998474912307, 0.26098877559763517, 0.18628504444661523], 'brevity_penalty': 1.0, 'length_ratio': 1.1019682059046176, 'translation_length': 14557, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
119
- | 0.1854 | 59.0 | 6254 | 0.2979 | 0.4640 | {'bleu': 0.3162920692997877, 'precisions': [0.5506298616369519, 0.371293182512993, 0.26217678893565843, 0.18671630094043887], 'brevity_penalty': 1.0, 'length_ratio': 1.0996971990915974, 'translation_length': 14527, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
120
- | 0.1854 | 60.0 | 6360 | 0.2976 | 0.4637 | {'bleu': 0.31869505159104133, 'precisions': [0.5518334711883099, 0.37305778798316114, 0.26424023403889174, 0.1896348645465253], 'brevity_penalty': 1.0, 'length_ratio': 1.0982588947766843, 'translation_length': 14508, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
121
- | 0.1854 | 61.0 | 6466 | 0.2974 | 0.4673 | {'bleu': 0.31668941878935697, 'precisions': [0.5491333471445342, 0.3696119036662065, 0.26226821905993963, 0.188957779746088], 'brevity_penalty': 1.0, 'length_ratio': 1.096214988644966, 'translation_length': 14481, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
122
- | 0.1761 | 62.0 | 6572 | 0.3018 | 0.4667 | {'bleu': 0.3146151709852398, 'precisions': [0.549707199448846, 0.3703335373317013, 0.260297532031989, 0.18489455615497793], 'brevity_penalty': 1.0, 'length_ratio': 1.0987887963663892, 'translation_length': 14515, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
123
- | 0.1761 | 63.0 | 6678 | 0.3028 | 0.4676 | {'bleu': 0.31236552029402453, 'precisions': [0.5481588348447376, 0.3670403416456951, 0.2574978577549272, 0.18376318874560374], 'brevity_penalty': 1.0, 'length_ratio': 1.101892505677517, 'translation_length': 14556, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
124
- | 0.1761 | 64.0 | 6784 | 0.3042 | 0.4621 | {'bleu': 0.3215568053974061, 'precisions': [0.5536894273127754, 0.37523882307986245, 0.2670503349939873, 0.1926920062695925], 'brevity_penalty': 1.0, 'length_ratio': 1.099772899318698, 'translation_length': 14528, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
125
- | 0.1761 | 65.0 | 6890 | 0.3006 | 0.4631 | {'bleu': 0.31842620307399816, 'precisions': [0.5529938059187887, 0.3728127149079239, 0.2640845070422535, 0.18883447600391773], 'brevity_penalty': 1.0, 'length_ratio': 1.0999242997728993, 'translation_length': 14530, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
126
- | 0.1761 | 66.0 | 6996 | 0.3032 | 0.4606 | {'bleu': 0.3207308393608921, 'precisions': [0.5565894678797905, 0.37634902411021814, 0.26570297711237306, 0.19012563800549667], 'brevity_penalty': 1.0, 'length_ratio': 1.0982588947766843, 'translation_length': 14508, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
127
- | 0.1649 | 67.0 | 7102 | 0.3126 | 0.4602 | {'bleu': 0.3207726654824389, 'precisions': [0.554032755430686, 0.37741444866920154, 0.26633637994362347, 0.19010999707972354], 'brevity_penalty': 1.0, 'length_ratio': 1.1046934140802422, 'translation_length': 14593, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
128
- | 0.1649 | 68.0 | 7208 | 0.3217 | 0.4602 | {'bleu': 0.3230138585379056, 'precisions': [0.555189230029535, 0.37679170478804513, 0.26762614580656213, 0.194452583260084], 'brevity_penalty': 1.0, 'length_ratio': 1.102119606358819, 'translation_length': 14559, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
129
- | 0.1649 | 69.0 | 7314 | 0.3126 | 0.4610 | {'bleu': 0.32145603233088194, 'precisions': [0.5556242699099841, 0.37719298245614036, 0.26682094797291506, 0.1909508453044073], 'brevity_penalty': 1.0, 'length_ratio': 1.101665404996215, 'translation_length': 14553, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
130
- | 0.1649 | 70.0 | 7420 | 0.3164 | 0.4569 | {'bleu': 0.3274512710726435, 'precisions': [0.5580820223947242, 0.3811956687509532, 0.2730700025704738, 0.19790954381166356], 'brevity_penalty': 1.0, 'length_ratio': 1.1019682059046176, 'translation_length': 14557, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
131
- | 0.1586 | 71.0 | 7526 | 0.3146 | 0.4622 | {'bleu': 0.31911162358084005, 'precisions': [0.5556706012286878, 0.37496166819993865, 0.263684165158176, 0.18874790990459328], 'brevity_penalty': 1.0, 'length_ratio': 1.09666919000757, 'translation_length': 14487, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
132
- | 0.1586 | 72.0 | 7632 | 0.3131 | 0.4592 | {'bleu': 0.32389492799699293, 'precisions': [0.5574266272596055, 0.3792919273615138, 0.2690559890251222, 0.19346954736533387], 'brevity_penalty': 1.0, 'length_ratio': 1.1013626040878122, 'translation_length': 14549, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
133
- | 0.1586 | 73.0 | 7738 | 0.3188 | 0.4583 | {'bleu': 0.32655365796666525, 'precisions': [0.559152401987852, 0.38014564967420467, 0.271332528874332, 0.1971678631133838], 'brevity_penalty': 1.0, 'length_ratio': 1.0967448902346708, 'translation_length': 14488, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
134
- | 0.1586 | 74.0 | 7844 | 0.3153 | 0.4610 | {'bleu': 0.32129410415655674, 'precisions': [0.5561979489297267, 0.37704416934128077, 0.26685562140341834, 0.1904202174551866], 'brevity_penalty': 1.0, 'length_ratio': 1.0998485995457987, 'translation_length': 14529, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
135
- | 0.1586 | 75.0 | 7950 | 0.3161 | 0.4589 | {'bleu': 0.32339321657296594, 'precisions': [0.5591479387839514, 0.3787797596264258, 0.2677280550774527, 0.19289290271915185], 'brevity_penalty': 1.0, 'length_ratio': 1.098107494322483, 'translation_length': 14506, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
136
- | 0.1515 | 76.0 | 8056 | 0.3192 | 0.4618 | {'bleu': 0.316903562701023, 'precisions': [0.5559757942511346, 0.3729292312390259, 0.26115305422100205, 0.18626491880258267], 'brevity_penalty': 1.0, 'length_ratio': 1.1008327024981075, 'translation_length': 14542, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
137
- | 0.1515 | 77.0 | 8162 | 0.3258 | 0.4608 | {'bleu': 0.32119824364789534, 'precisions': [0.5559601511508073, 0.3774405125076266, 0.2667752163852944, 0.19013190034196384], 'brevity_penalty': 1.0, 'length_ratio': 1.1018168054504163, 'translation_length': 14555, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
138
- | 0.1515 | 78.0 | 8268 | 0.3163 | 0.4606 | {'bleu': 0.32188554050314144, 'precisions': [0.5552259399793033, 0.37664725712534475, 0.2670341976053062, 0.19223587223587224], 'brevity_penalty': 1.0, 'length_ratio': 1.0972747918243755, 'translation_length': 14495, 'reference_length': 13210} | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
139
- | 0.1515 | 79.0 | 8374 | 0.3185 | 0.4587 | {'bleu': 0.3237016833854913, 'precisions': [0.5590416037347247, 0.3778099519926846, 0.2683219178082192, 0.19373414015225454], 'brevity_penalty': 1.0, 'length_ratio': 1.102649507948524, 'translation_length': 14566, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
140
- | 0.1515 | 80.0 | 8480 | 0.3170 | 0.4541 | {'bleu': 0.3259830632410305, 'precisions': [0.5614325068870524, 0.3814330503938212, 0.2704143029052776, 0.195], 'brevity_penalty': 1.0, 'length_ratio': 1.0991672975018925, 'translation_length': 14520, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
141
- | 0.1482 | 81.0 | 8586 | 0.3184 | 0.4580 | {'bleu': 0.32730996600026774, 'precisions': [0.5597020073118576, 0.3827945457331086, 0.27258634053914393, 0.19652156824211456], 'brevity_penalty': 1.0, 'length_ratio': 1.0974261922785769, 'translation_length': 14497, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
142
- | 0.1482 | 82.0 | 8692 | 0.3259 | 0.4571 | {'bleu': 0.32714415344911474, 'precisions': [0.5595417752778159, 0.3824133993148078, 0.2722374273007184, 0.1966270228114642], 'brevity_penalty': 1.0, 'length_ratio': 1.103557910673732, 'translation_length': 14578, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
143
- | 0.1482 | 83.0 | 8798 | 0.3208 | 0.4585 | {'bleu': 0.32297683121658155, 'precisions': [0.5592123381988433, 0.3792523507377112, 0.2683450764736209, 0.19119952959623676], 'brevity_penalty': 1.0, 'length_ratio': 1.0994700984102952, 'translation_length': 14524, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
144
- | 0.1482 | 84.0 | 8904 | 0.3202 | 0.4565 | {'bleu': 0.3259497954714864, 'precisions': [0.5598787962261552, 0.38155681296834376, 0.27099269445638163, 0.19498088422703658], 'brevity_penalty': 1.0, 'length_ratio': 1.0992429977289933, 'translation_length': 14521, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
145
- | 0.143 | 85.0 | 9010 | 0.3196 | 0.4582 | {'bleu': 0.3261720428963995, 'precisions': [0.5596614368290669, 0.38146535258614106, 0.27219646230465394, 0.19477085781433606], 'brevity_penalty': 1.0, 'length_ratio': 1.1000757002271007, 'translation_length': 14532, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
146
- | 0.143 | 86.0 | 9116 | 0.3321 | 0.4583 | {'bleu': 0.3250716033098527, 'precisions': [0.5588943134153889, 0.38, 0.2699665437076435, 0.19475692066907951], 'brevity_penalty': 1.0, 'length_ratio': 1.100908402725208, 'translation_length': 14543, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
147
- | 0.143 | 87.0 | 9222 | 0.3228 | 0.4556 | {'bleu': 0.3283395597904491, 'precisions': [0.5614998969850972, 0.3832901356914164, 0.2739186295503212, 0.19714871594570843], 'brevity_penalty': 1.0, 'length_ratio': 1.1022710068130204, 'translation_length': 14561, 'reference_length': 13210} | {'rouge1': 0.001386001386001386, 'rouge2': 0.0, 'rougeL': 0.001386001386001386, 'rougeLsum': 0.001386001386001386} |
148
- | 0.143 | 88.0 | 9328 | 0.3272 | 0.4553 | {'bleu': 0.32702135921625014, 'precisions': [0.5603104822090946, 0.3827678231033168, 0.2727039067854695, 0.195546005079117], 'brevity_penalty': 1.0, 'length_ratio': 1.1020439061317184, 'translation_length': 14558, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
149
- | 0.143 | 89.0 | 9434 | 0.3285 | 0.4533 | {'bleu': 0.3317606887076569, 'precisions': [0.5640743289745355, 0.3871781156873233, 0.2769666781174854, 0.20027421408285181], 'brevity_penalty': 1.0, 'length_ratio': 1.0999242997728993, 'translation_length': 14530, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
150
- | 0.1386 | 90.0 | 9540 | 0.3298 | 0.4550 | {'bleu': 0.3285640203482956, 'precisions': [0.5620267107255955, 0.38485056944125967, 0.2738831615120275, 0.1967277358675419], 'brevity_penalty': 1.0, 'length_ratio': 1.0996214988644966, 'translation_length': 14526, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
151
- | 0.1386 | 91.0 | 9646 | 0.3254 | 0.4544 | {'bleu': 0.3290136476679272, 'precisions': [0.563208909053413, 0.3847680097680098, 0.273904467884401, 0.19741859782927546], 'brevity_penalty': 1.0, 'length_ratio': 1.1012112036336108, 'translation_length': 14547, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
152
- | 0.1386 | 92.0 | 9752 | 0.3303 | 0.4555 | {'bleu': 0.33061794003559575, 'precisions': [0.5619289688809508, 0.38500838798230896, 0.27538342901208124, 0.20054703526423756], 'brevity_penalty': 1.0, 'length_ratio': 1.1019682059046176, 'translation_length': 14557, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
153
- | 0.1386 | 93.0 | 9858 | 0.3278 | 0.4546 | {'bleu': 0.3293351458622286, 'precisions': [0.5625988312134754, 0.38406350175545717, 0.27463761900677586, 0.19823960880195599], 'brevity_penalty': 1.0, 'length_ratio': 1.1010598031794094, 'translation_length': 14545, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
154
- | 0.1386 | 94.0 | 9964 | 0.3283 | 0.4539 | {'bleu': 0.3298655689520526, 'precisions': [0.5631274927795351, 0.38529658752576534, 0.27505147563486615, 0.19839561729602817], 'brevity_penalty': 1.0, 'length_ratio': 1.1008327024981075, 'translation_length': 14542, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
155
- | 0.1327 | 95.0 | 10070 | 0.3312 | 0.4536 | {'bleu': 0.33147903443612675, 'precisions': [0.5637925111645483, 0.3864399023794997, 0.27680178250064275, 0.20019540791402052], 'brevity_penalty': 1.0, 'length_ratio': 1.1018168054504163, 'translation_length': 14555, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
156
- | 0.1327 | 96.0 | 10176 | 0.3312 | 0.4530 | {'bleu': 0.33257718368218486, 'precisions': [0.5640197829372167, 0.3874952344643538, 0.27793008910212474, 0.2014065247118578], 'brevity_penalty': 1.0, 'length_ratio': 1.1020439061317184, 'translation_length': 14558, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
157
- | 0.1327 | 97.0 | 10282 | 0.3314 | 0.4536 | {'bleu': 0.33199702822536054, 'precisions': [0.5630067335440428, 0.3867744641903745, 0.2771683236201577, 0.20128981825288256], 'brevity_penalty': 1.0, 'length_ratio': 1.1017411052233157, 'translation_length': 14554, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
158
- | 0.1327 | 98.0 | 10388 | 0.3311 | 0.4538 | {'bleu': 0.33149073029031967, 'precisions': [0.5633076711575474, 0.386570011446013, 0.27679643285885785, 0.2003324208056316], 'brevity_penalty': 1.0, 'length_ratio': 1.1012869038607116, 'translation_length': 14548, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
159
- | 0.1327 | 99.0 | 10494 | 0.3300 | 0.4543 | {'bleu': 0.3305549917495247, 'precisions': [0.5630153930731171, 0.386223205431383, 0.275930053145894, 0.19898358092259577], 'brevity_penalty': 1.0, 'length_ratio': 1.1015897047691143, 'translation_length': 14552, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
160
- | 0.1306 | 99.0570 | 10500 | 0.3300 | 0.4544 | {'bleu': 0.3304851497144104, 'precisions': [0.5629466739967015, 0.38599435502326646, 0.2757586147779873, 0.19908131352619235], 'brevity_penalty': 1.0, 'length_ratio': 1.1015897047691143, 'translation_length': 14552, 'reference_length': 13210} | {'rouge1': 0.000693000693000693, 'rouge2': 0.0, 'rougeL': 0.000693000693000693, 'rougeLsum': 0.000693000693000693} |
161
 
162
 
163
  ### Framework versions
 
9
  - bleu
10
  - rouge
11
  model-index:
12
+ - name: baseline_french_arabic_kabyle
13
  results: []
14
  ---
15
 
16
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
  should probably proofread and complete it, then remove this comment. -->
18
 
19
+ # baseline_french_arabic_kabyle
20
 
21
  This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.1710
24
+ - Wer: 0.2150
25
+ - Bleu: {'bleu': 0.7181439137868495, 'precisions': [0.8172253641275157, 0.7521161678767487, 0.6893509005197631, 0.627738590180782], 'brevity_penalty': 1.0, 'length_ratio': 1.1180148357470858, 'translation_length': 31651, 'reference_length': 28310}
26
+ - Rouge: {'rouge1': 0.9290507331814231, 'rouge2': 0.877068996182836, 'rougeL': 0.928568135242265, 'rougeLsum': 0.9287057494850774}
27
 
28
  ## Model description
29
 
 
56
 
57
  ### Training results
58
 
59
+ | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu | Rouge |
60
+ |:-------------:|:-------:|:-----:|:---------------:|:------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------:|
61
+ | No log | 1.0 | 250 | 0.3712 | 0.3582 | {'bleu': 0.5278472486368768, 'precisions': [0.7013763071739614, 0.5807095738990907, 0.4798814405781802, 0.3971815053966159], 'brevity_penalty': 1.0, 'length_ratio': 1.1113034263511128, 'translation_length': 31461, 'reference_length': 28310} | {'rouge1': 0.798035129706152, 'rouge2': 0.6807351190104856, 'rougeL': 0.7973280825352558, 'rougeLsum': 0.7972372866654838} |
62
+ | 3.1239 | 2.0 | 500 | 0.2901 | 0.3284 | {'bleu': 0.5686667698587203, 'precisions': [0.7288755175983437, 0.6175807390165843, 0.5231727574750831, 0.4440574662603396], 'brevity_penalty': 1.0, 'length_ratio': 1.0919109855174849, 'translation_length': 30912, 'reference_length': 28310} | {'rouge1': 0.8199263751889682, 'rouge2': 0.7127543632096307, 'rougeL': 0.8196159785817028, 'rougeLsum': 0.8196976327747123} |
63
+ | 3.1239 | 3.0 | 750 | 0.2537 | 0.3118 | {'bleu': 0.5768981116684755, 'precisions': [0.7311131187887473, 0.624795174842241, 0.5331855780266751, 0.4547742142105504], 'brevity_penalty': 1.0, 'length_ratio': 1.1338396326386435, 'translation_length': 32099, 'reference_length': 28310} | {'rouge1': 0.8456804238564215, 'rouge2': 0.742156398000457, 'rougeL': 0.845238023896572, 'rougeLsum': 0.8454111108499825} |
64
+ | 0.367 | 4.0 | 1000 | 0.2337 | 0.2939 | {'bleu': 0.6106927898835819, 'precisions': [0.7545419774335437, 0.6563774232777738, 0.568943036427349, 0.4936115843270869], 'brevity_penalty': 1.0, 'length_ratio': 1.108230307311904, 'translation_length': 31374, 'reference_length': 28310} | {'rouge1': 0.8554005259136783, 'rouge2': 0.762584540157837, 'rougeL': 0.8551036554459432, 'rougeLsum': 0.8551353596303144} |
65
+ | 0.367 | 5.0 | 1250 | 0.2236 | 0.2946 | {'bleu': 0.6090635792059497, 'precisions': [0.7539327279703287, 0.6543072505384063, 0.5670512191130748, 0.49194200142619443], 'brevity_penalty': 1.0, 'length_ratio': 1.1047686329918756, 'translation_length': 31276, 'reference_length': 28310} | {'rouge1': 0.8544499817518096, 'rouge2': 0.7597219171391328, 'rougeL': 0.8541000510506045, 'rougeLsum': 0.8541447143331091} |
66
+ | 0.3017 | 6.0 | 1500 | 0.2107 | 0.2864 | {'bleu': 0.6179425731015586, 'precisions': [0.7583722987488942, 0.6622751097889219, 0.577074939564867, 0.5030826716487623], 'brevity_penalty': 1.0, 'length_ratio': 1.1180501589544332, 'translation_length': 31652, 'reference_length': 28310} | {'rouge1': 0.865116056368076, 'rouge2': 0.7751137390492029, 'rougeL': 0.8648706872525473, 'rougeLsum': 0.8649359646513785} |
67
+ | 0.3017 | 7.0 | 1750 | 0.2072 | 0.2841 | {'bleu': 0.6228222468169561, 'precisions': [0.7600405101750166, 0.6662290195521805, 0.5826771653543307, 0.509997658627956], 'brevity_penalty': 1.0, 'length_ratio': 1.1161073825503356, 'translation_length': 31597, 'reference_length': 28310} | {'rouge1': 0.8666732011440186, 'rouge2': 0.778223076136866, 'rougeL': 0.8664992087555933, 'rougeLsum': 0.866524028492358} |
68
+ | 0.2708 | 8.0 | 2000 | 0.2015 | 0.2744 | {'bleu': 0.6345228154503069, 'precisions': [0.7686110318140007, 0.677990822098111, 0.5955861510427212, 0.5222926943857177], 'brevity_penalty': 1.0, 'length_ratio': 1.1136347580360297, 'translation_length': 31527, 'reference_length': 28310} | {'rouge1': 0.872959202159738, 'rouge2': 0.7886390907566294, 'rougeL': 0.8727691499863385, 'rougeLsum': 0.8728460817248329} |
69
+ | 0.2708 | 9.0 | 2250 | 0.2013 | 0.2741 | {'bleu': 0.6371579696262013, 'precisions': [0.7706673465485372, 0.6794935984550461, 0.5982644830114886, 0.5260692657077971], 'brevity_penalty': 1.0, 'length_ratio': 1.1083716001412929, 'translation_length': 31378, 'reference_length': 28310} | {'rouge1': 0.8757241437485311, 'rouge2': 0.7924702626655357, 'rougeL': 0.8753634004687673, 'rougeLsum': 0.8754667555561163} |
70
+ | 0.2517 | 10.0 | 2500 | 0.1977 | 0.2713 | {'bleu': 0.6381295480524106, 'precisions': [0.7720851982350887, 0.6809556022359099, 0.5989218110331969, 0.5266004986123524], 'brevity_penalty': 1.0, 'length_ratio': 1.1127870010596963, 'translation_length': 31503, 'reference_length': 28310} | {'rouge1': 0.8788759882038476, 'rouge2': 0.7975561416453387, 'rougeL': 0.8784243123598028, 'rougeLsum': 0.8784939662361415} |
71
+ | 0.2517 | 11.0 | 2750 | 0.1932 | 0.2739 | {'bleu': 0.6359294235285533, 'precisions': [0.7704616166105784, 0.6787978064240439, 0.5967323441174086, 0.5240402709823109], 'brevity_penalty': 1.0, 'length_ratio': 1.11261038502296, 'translation_length': 31498, 'reference_length': 28310} | {'rouge1': 0.8747640289347568, 'rouge2': 0.7913291314760371, 'rougeL': 0.8744497060038865, 'rougeLsum': 0.8744501320279807} |
72
+ | 0.2356 | 12.0 | 3000 | 0.1920 | 0.2710 | {'bleu': 0.6385111246615954, 'precisions': [0.7720509086304059, 0.6815761448349308, 0.5997414559263149, 0.526683221665183], 'brevity_penalty': 1.0, 'length_ratio': 1.115718827269516, 'translation_length': 31586, 'reference_length': 28310} | {'rouge1': 0.8800765036168291, 'rouge2': 0.7987744546839806, 'rougeL': 0.8796757702814868, 'rougeLsum': 0.8797885095592506} |
73
+ | 0.2356 | 13.0 | 3250 | 0.1907 | 0.2689 | {'bleu': 0.6417762089701201, 'precisions': [0.7711514846185333, 0.6833080478425008, 0.6042845107714526, 0.5327663134411601], 'brevity_penalty': 1.0, 'length_ratio': 1.1218297421405863, 'translation_length': 31759, 'reference_length': 28310} | {'rouge1': 0.8803421637314088, 'rouge2': 0.7996209590024225, 'rougeL': 0.8801310207196743, 'rougeLsum': 0.8801038848212641} |
74
+ | 0.2275 | 14.0 | 3500 | 0.1894 | 0.2642 | {'bleu': 0.6502108215089224, 'precisions': [0.7781164666285642, 0.6909680176650759, 0.6128051252939746, 0.5424901185770751], 'brevity_penalty': 1.0, 'length_ratio': 1.1124690921935712, 'translation_length': 31494, 'reference_length': 28310} | {'rouge1': 0.8833075472401195, 'rouge2': 0.8046199792704777, 'rougeL': 0.8829151700995652, 'rougeLsum': 0.883120491412912} |
75
+ | 0.2275 | 15.0 | 3750 | 0.1911 | 0.2624 | {'bleu': 0.6503528599575058, 'precisions': [0.7783497015820886, 0.6913383597040813, 0.6128447755184215, 0.5424757281553398], 'brevity_penalty': 1.0, 'length_ratio': 1.1185800070646414, 'translation_length': 31667, 'reference_length': 28310} | {'rouge1': 0.8856387650415731, 'rouge2': 0.8063881849941688, 'rougeL': 0.8851521760376129, 'rougeLsum': 0.8851458726706298} |
76
+ | 0.214 | 16.0 | 4000 | 0.1846 | 0.2603 | {'bleu': 0.6534288502142345, 'precisions': [0.7802785691674581, 0.6942571164903812, 0.6163260360287584, 0.5460252026045814], 'brevity_penalty': 1.0, 'length_ratio': 1.115860120098905, 'translation_length': 31590, 'reference_length': 28310} | {'rouge1': 0.8880086978536974, 'rouge2': 0.8112985132249853, 'rougeL': 0.8878328746101541, 'rougeLsum': 0.8877090579361144} |
77
+ | 0.214 | 17.0 | 4250 | 0.1868 | 0.2610 | {'bleu': 0.6536690869596536, 'precisions': [0.7811654625887146, 0.6947687912872701, 0.6161698320387164, 0.545943904051374], 'brevity_penalty': 1.0, 'length_ratio': 1.1098904980572235, 'translation_length': 31421, 'reference_length': 28310} | {'rouge1': 0.888159308242917, 'rouge2': 0.811950873463422, 'rougeL': 0.887753464518743, 'rougeLsum': 0.8878698167861805} |
78
+ | 0.207 | 18.0 | 4500 | 0.1829 | 0.2581 | {'bleu': 0.652485573986245, 'precisions': [0.7806400756739713, 0.694512173575038, 0.6157215769802676, 0.5429609276766172], 'brevity_penalty': 1.0, 'length_ratio': 1.1202755210173083, 'translation_length': 31715, 'reference_length': 28310} | {'rouge1': 0.8907788257397911, 'rouge2': 0.8147507183299365, 'rougeL': 0.890472472368699, 'rougeLsum': 0.8905229424253815} |
79
+ | 0.207 | 19.0 | 4750 | 0.1842 | 0.2571 | {'bleu': 0.6583765557380931, 'precisions': [0.7830087264449223, 0.6987097688926698, 0.6219954831424424, 0.5521369119985037], 'brevity_penalty': 1.0, 'length_ratio': 1.1172024019780995, 'translation_length': 31628, 'reference_length': 28310} | {'rouge1': 0.8915878831883641, 'rouge2': 0.8171822405845636, 'rougeL': 0.8910935738001518, 'rougeLsum': 0.8911412743527534} |
80
+ | 0.1975 | 20.0 | 5000 | 0.1844 | 0.2568 | {'bleu': 0.6604093848175463, 'precisions': [0.7844827586206896, 0.700774808075064, 0.6241100323624595, 0.5544085214208625], 'brevity_penalty': 1.0, 'length_ratio': 1.1145178382197103, 'translation_length': 31552, 'reference_length': 28310} | {'rouge1': 0.8926171158790939, 'rouge2': 0.8192477595804221, 'rougeL': 0.892376463579911, 'rougeLsum': 0.8924821198610968} |
81
+ | 0.1975 | 21.0 | 5250 | 0.1809 | 0.2547 | {'bleu': 0.6598272573376067, 'precisions': [0.7846076013406691, 0.7003190358029068, 0.6237396144228442, 0.5530561661132676], 'brevity_penalty': 1.0, 'length_ratio': 1.117131755563405, 'translation_length': 31626, 'reference_length': 28310} | {'rouge1': 0.8944660698210884, 'rouge2': 0.8206205838405253, 'rougeL': 0.8938214532051091, 'rougeLsum': 0.8939730953000364} |
82
+ | 0.1926 | 22.0 | 5500 | 0.1826 | 0.2612 | {'bleu': 0.6528953886577082, 'precisions': [0.781001047386295, 0.6942437079491652, 0.6156028368794326, 0.544390106272924], 'brevity_penalty': 1.0, 'length_ratio': 1.1129282938890852, 'translation_length': 31507, 'reference_length': 28310} | {'rouge1': 0.8897670120028007, 'rouge2': 0.8127417702375003, 'rougeL': 0.8892971240536487, 'rougeLsum': 0.8894543689738418} |
83
+ | 0.1926 | 23.0 | 5750 | 0.1809 | 0.2502 | {'bleu': 0.6630081593958751, 'precisions': [0.7858940480684535, 0.7036867333991259, 0.6273841961852861, 0.556927361336737], 'brevity_penalty': 1.0, 'length_ratio': 1.122854115153656, 'translation_length': 31788, 'reference_length': 28310} | {'rouge1': 0.8977033945594035, 'rouge2': 0.8260671944464686, 'rougeL': 0.897271052987286, 'rougeLsum': 0.8974223180640624} |
84
+ | 0.1847 | 24.0 | 6000 | 0.1775 | 0.2518 | {'bleu': 0.664617620951246, 'precisions': [0.7866210782917022, 0.7044123389301055, 0.6292466168450818, 0.5595952023988006], 'brevity_penalty': 1.0, 'length_ratio': 1.1157541504768633, 'translation_length': 31587, 'reference_length': 28310} | {'rouge1': 0.8942352732115131, 'rouge2': 0.8206491568800887, 'rougeL': 0.8940899979145857, 'rougeLsum': 0.8941264783022637} |
85
+ | 0.1847 | 25.0 | 6250 | 0.1768 | 0.2514 | {'bleu': 0.6673439251118893, 'precisions': [0.7881119766926341, 0.7069455294368298, 0.6326679059241898, 0.5626640419947506], 'brevity_penalty': 1.0, 'length_ratio': 1.1154362416107382, 'translation_length': 31578, 'reference_length': 28310} | {'rouge1': 0.8977994065582976, 'rouge2': 0.8262874637033506, 'rougeL': 0.8973576875505005, 'rougeLsum': 0.8974537363999516} |
86
+ | 0.1763 | 26.0 | 6500 | 0.1740 | 0.2480 | {'bleu': 0.6672953393422436, 'precisions': [0.7884288680551186, 0.7068382093761015, 0.6324837701370521, 0.5625232083178611], 'brevity_penalty': 1.0, 'length_ratio': 1.1227834687389615, 'translation_length': 31786, 'reference_length': 28310} | {'rouge1': 0.9006903529225825, 'rouge2': 0.8286153513232738, 'rougeL': 0.900322670952943, 'rougeLsum': 0.900331521820432} |
87
+ | 0.1763 | 27.0 | 6750 | 0.1724 | 0.2447 | {'bleu': 0.6758628746184816, 'precisions': [0.7934090981037702, 0.7146913711709794, 0.6419194571232378, 0.5732421417529395], 'brevity_penalty': 1.0, 'length_ratio': 1.1158247968915578, 'translation_length': 31589, 'reference_length': 28310} | {'rouge1': 0.9029447881778627, 'rouge2': 0.8348771955646912, 'rougeL': 0.9026641128550409, 'rougeLsum': 0.9028122513682509} |
88
+ | 0.1719 | 28.0 | 7000 | 0.1731 | 0.2484 | {'bleu': 0.673709029798307, 'precisions': [0.7917142494607283, 0.7125373559129073, 0.6393973756682326, 0.5711399304576638], 'brevity_penalty': 1.0, 'length_ratio': 1.113528788413988, 'translation_length': 31524, 'reference_length': 28310} | {'rouge1': 0.8998505378942794, 'rouge2': 0.8302960797570174, 'rougeL': 0.899459294724608, 'rougeLsum': 0.8995235565525509} |
89
+ | 0.1719 | 29.0 | 7250 | 0.1704 | 0.2450 | {'bleu': 0.6738148075843088, 'precisions': [0.7930618592693687, 0.7132533551671354, 0.6391084093211753, 0.5702125658389767], 'brevity_penalty': 1.0, 'length_ratio': 1.1129282938890852, 'translation_length': 31507, 'reference_length': 28310} | {'rouge1': 0.902133394303708, 'rouge2': 0.8326977810374041, 'rougeL': 0.9018069018405195, 'rougeLsum': 0.901922076249017} |
90
+ | 0.1667 | 30.0 | 7500 | 0.1744 | 0.2480 | {'bleu': 0.6690245090591024, 'precisions': [0.7890935469627199, 0.7083775185577943, 0.6341159443595722, 0.5652052369193495], 'brevity_penalty': 1.0, 'length_ratio': 1.1199576121511834, 'translation_length': 31706, 'reference_length': 28310} | {'rouge1': 0.8998246952773823, 'rouge2': 0.8286638662634496, 'rougeL': 0.8996990080190415, 'rougeLsum': 0.8996089688475792} |
91
+ | 0.1667 | 31.0 | 7750 | 0.1801 | 0.2455 | {'bleu': 0.673749871830189, 'precisions': [0.7918390550484793, 0.7129960703791554, 0.6393218154725947, 0.5708883805611316], 'brevity_penalty': 1.0, 'length_ratio': 1.1184387142352525, 'translation_length': 31663, 'reference_length': 28310} | {'rouge1': 0.9025928217012711, 'rouge2': 0.8347016284045304, 'rougeL': 0.9023447198920926, 'rougeLsum': 0.902186801811284} |
92
+ | 0.1604 | 32.0 | 8000 | 0.1722 | 0.2419 | {'bleu': 0.6767252228091671, 'precisions': [0.7942289498580889, 0.7161942461299216, 0.6427767505426482, 0.5736047703344824], 'brevity_penalty': 1.0, 'length_ratio': 1.1200989049805723, 'translation_length': 31710, 'reference_length': 28310} | {'rouge1': 0.9052736976492003, 'rouge2': 0.8378633942991702, 'rougeL': 0.9047662390848413, 'rougeLsum': 0.9047920343670606} |
93
+ | 0.1604 | 33.0 | 8250 | 0.1740 | 0.2431 | {'bleu': 0.6779607715238674, 'precisions': [0.7948620602379145, 0.7170119182746879, 0.6441314175008073, 0.5754739059208986], 'brevity_penalty': 1.0, 'length_ratio': 1.116495937831155, 'translation_length': 31608, 'reference_length': 28310} | {'rouge1': 0.9054577244056948, 'rouge2': 0.837859711436388, 'rougeL': 0.9051204447353197, 'rougeLsum': 0.905209132854425} |
94
+ | 0.1535 | 34.0 | 8500 | 0.1728 | 0.2386 | {'bleu': 0.6825833022854648, 'precisions': [0.7967382406649456, 0.7204543850984266, 0.6491776975531488, 0.5825549514382639], 'brevity_penalty': 1.0, 'length_ratio': 1.121935711762628, 'translation_length': 31762, 'reference_length': 28310} | {'rouge1': 0.9061642972611058, 'rouge2': 0.8381792497289737, 'rougeL': 0.9057228056568631, 'rougeLsum': 0.9057095395997856} |
95
+ | 0.1535 | 35.0 | 8750 | 0.1750 | 0.2429 | {'bleu': 0.6796704515212395, 'precisions': [0.7946735666277492, 0.7174535809018567, 0.6458425519932419, 0.5795412159641925], 'brevity_penalty': 1.0, 'length_ratio': 1.1194277640409749, 'translation_length': 31691, 'reference_length': 28310} | {'rouge1': 0.9043810437315959, 'rouge2': 0.8363436916820843, 'rougeL': 0.9040836077941827, 'rougeLsum': 0.9040025464797321} |
96
+ | 0.1479 | 36.0 | 9000 | 0.1699 | 0.2363 | {'bleu': 0.6857075281147021, 'precisions': [0.7983482016202755, 0.7230720316529481, 0.6528464103491222, 0.5866387337057728], 'brevity_penalty': 1.0, 'length_ratio': 1.1205581066760861, 'translation_length': 31723, 'reference_length': 28310} | {'rouge1': 0.9095427718929339, 'rouge2': 0.8447799177906222, 'rougeL': 0.9092146266329982, 'rougeLsum': 0.9093935335009891} |
97
+ | 0.1479 | 37.0 | 9250 | 0.1699 | 0.2403 | {'bleu': 0.6812161709890092, 'precisions': [0.7966445077556189, 0.7194931497125009, 0.6479925680588092, 0.5798004403429053], 'brevity_penalty': 1.0, 'length_ratio': 1.115860120098905, 'translation_length': 31590, 'reference_length': 28310} | {'rouge1': 0.907470542351714, 'rouge2': 0.8409742482167158, 'rougeL': 0.9070243030861842, 'rougeLsum': 0.906984454884277} |
98
+ | 0.1468 | 38.0 | 9500 | 0.1705 | 0.2378 | {'bleu': 0.6844362875621229, 'precisions': [0.7981225109046084, 0.7222025370278506, 0.6512940417640893, 0.584556417687202], 'brevity_penalty': 1.0, 'length_ratio': 1.117555634051572, 'translation_length': 31638, 'reference_length': 28310} | {'rouge1': 0.9081373626463022, 'rouge2': 0.8432113124306702, 'rougeL': 0.9078817256970672, 'rougeLsum': 0.907926090518588} |
99
+ | 0.1468 | 39.0 | 9750 | 0.1728 | 0.2357 | {'bleu': 0.6872054270890084, 'precisions': [0.8011714421402565, 0.7255848627924314, 0.6537389407344564, 0.5868516002061759], 'brevity_penalty': 1.0, 'length_ratio': 1.1156835040621689, 'translation_length': 31585, 'reference_length': 28310} | {'rouge1': 0.909992727207166, 'rouge2': 0.8454991257092774, 'rougeL': 0.9096844382094951, 'rougeLsum': 0.9096582389858623} |
100
+ | 0.1399 | 40.0 | 10000 | 0.1723 | 0.2360 | {'bleu': 0.6873256856440819, 'precisions': [0.8006531802904433, 0.7254818291728895, 0.6542945033595078, 0.5872270486029585], 'brevity_penalty': 1.0, 'length_ratio': 1.1140233133168491, 'translation_length': 31538, 'reference_length': 28310} | {'rouge1': 0.9092508952591971, 'rouge2': 0.8456412258828068, 'rougeL': 0.9089776607080162, 'rougeLsum': 0.9090823488243367} |
101
+ | 0.1399 | 41.0 | 10250 | 0.1672 | 0.2346 | {'bleu': 0.6877472473343744, 'precisions': [0.8009430678186018, 0.7262534151793635, 0.6545403157427222, 0.5876100393332084], 'brevity_penalty': 1.0, 'length_ratio': 1.11617802896503, 'translation_length': 31599, 'reference_length': 28310} | {'rouge1': 0.9117540265946094, 'rouge2': 0.8485160184362044, 'rougeL': 0.9114761999726984, 'rougeLsum': 0.9115384496313579} |
102
+ | 0.1358 | 42.0 | 10500 | 0.1672 | 0.2355 | {'bleu': 0.6883611823862184, 'precisions': [0.8006038455426665, 0.7259438839174303, 0.6556651646165713, 0.5891998869098106], 'brevity_penalty': 1.0, 'length_ratio': 1.1114447191805017, 'translation_length': 31465, 'reference_length': 28310} | {'rouge1': 0.9103644942076321, 'rouge2': 0.8465167053007057, 'rougeL': 0.9101696238861534, 'rougeLsum': 0.9102477724384457} |
103
+ | 0.1358 | 43.0 | 10750 | 0.1680 | 0.2334 | {'bleu': 0.691355440515297, 'precisions': [0.8009272400416312, 0.7272277402707575, 0.6592160804020101, 0.5949962728289229], 'brevity_penalty': 1.0, 'length_ratio': 1.1199929353585305, 'translation_length': 31707, 'reference_length': 28310} | {'rouge1': 0.9117137211829257, 'rouge2': 0.8472381005354184, 'rougeL': 0.9112846690698126, 'rougeLsum': 0.9114123170757924} |
104
+ | 0.1316 | 44.0 | 11000 | 0.1701 | 0.2329 | {'bleu': 0.690215899860909, 'precisions': [0.8024052271077302, 0.7284981425791615, 0.6575314902008129, 0.590474413397397], 'brevity_penalty': 1.0, 'length_ratio': 1.1190745319675026, 'translation_length': 31681, 'reference_length': 28310} | {'rouge1': 0.9134133762936256, 'rouge2': 0.8506220034350286, 'rougeL': 0.9129875841880349, 'rougeLsum': 0.9130792687959912} |
105
+ | 0.1316 | 45.0 | 11250 | 0.1677 | 0.2314 | {'bleu': 0.6936690640769793, 'precisions': [0.8044002028911996, 0.732259670079636, 0.6616218841048883, 0.5941035632129947], 'brevity_penalty': 1.0, 'length_ratio': 1.1142352525609325, 'translation_length': 31544, 'reference_length': 28310} | {'rouge1': 0.9146221313099991, 'rouge2': 0.854627819059903, 'rougeL': 0.9144106693831648, 'rougeLsum': 0.9144972207187079} |
106
+ | 0.125 | 46.0 | 11500 | 0.1712 | 0.2322 | {'bleu': 0.6921327287197928, 'precisions': [0.8030418010497692, 0.7302729528535981, 0.6598773896910543, 0.593022168178842], 'brevity_penalty': 1.0, 'length_ratio': 1.117131755563405, 'translation_length': 31626, 'reference_length': 28310} | {'rouge1': 0.9134976895995741, 'rouge2': 0.8524849207535254, 'rougeL': 0.9132953385707354, 'rougeLsum': 0.9133495371403084} |
107
+ | 0.125 | 47.0 | 11750 | 0.1682 | 0.2329 | {'bleu': 0.6919293386914437, 'precisions': [0.802726467611336, 0.7292198581560284, 0.6596191091026469, 0.5936461891171104], 'brevity_penalty': 1.0, 'length_ratio': 1.1167785234899328, 'translation_length': 31616, 'reference_length': 28310} | {'rouge1': 0.9134292267458031, 'rouge2': 0.8516682775912385, 'rougeL': 0.9131191136604613, 'rougeLsum': 0.9131649187010484} |
108
+ | 0.1228 | 48.0 | 12000 | 0.1720 | 0.2308 | {'bleu': 0.6938657905892188, 'precisions': [0.8037359586015398, 0.7309378978639128, 0.6617055510860821, 0.5962703962703962], 'brevity_penalty': 1.0, 'length_ratio': 1.1194630872483222, 'translation_length': 31692, 'reference_length': 28310} | {'rouge1': 0.9142754255488477, 'rouge2': 0.8522939134610514, 'rougeL': 0.91378427347294, 'rougeLsum': 0.913791785124439} |
109
+ | 0.1228 | 49.0 | 12250 | 0.1675 | 0.2297 | {'bleu': 0.695393888743298, 'precisions': [0.8042468480424685, 0.7321030073323651, 0.6635502720128954, 0.5985329844888806], 'brevity_penalty': 1.0, 'length_ratio': 1.117873542917697, 'translation_length': 31647, 'reference_length': 28310} | {'rouge1': 0.915560398704055, 'rouge2': 0.8541701107254622, 'rougeL': 0.915163858076119, 'rougeLsum': 0.9151431225254174} |
110
+ | 0.1191 | 50.0 | 12500 | 0.1667 | 0.2310 | {'bleu': 0.6932836588007911, 'precisions': [0.8033810635211001, 0.7305761753269706, 0.6613331189193535, 0.5951637702091972], 'brevity_penalty': 1.0, 'length_ratio': 1.1199576121511834, 'translation_length': 31706, 'reference_length': 28310} | {'rouge1': 0.9155025168366151, 'rouge2': 0.8541082968528653, 'rougeL': 0.9152005878974918, 'rougeLsum': 0.915366625155241} |
111
+ | 0.1191 | 51.0 | 12750 | 0.1641 | 0.2288 | {'bleu': 0.6956956169575305, 'precisions': [0.805068410907827, 0.7327406043002374, 0.6639129558734637, 0.598112502336012], 'brevity_penalty': 1.0, 'length_ratio': 1.117873542917697, 'translation_length': 31647, 'reference_length': 28310} | {'rouge1': 0.916751329399486, 'rouge2': 0.8561752296334002, 'rougeL': 0.916289297513845, 'rougeLsum': 0.9164410215917672} |
112
+ | 0.1166 | 52.0 | 13000 | 0.1673 | 0.2307 | {'bleu': 0.6954800243226396, 'precisions': [0.803839838322597, 0.7316296191420076, 0.6637944918666452, 0.5992998833138856], 'brevity_penalty': 1.0, 'length_ratio': 1.1186153302719888, 'translation_length': 31668, 'reference_length': 28310} | {'rouge1': 0.9148182904921852, 'rouge2': 0.853634476747297, 'rougeL': 0.9142736007712273, 'rougeLsum': 0.9144878223020056} |
113
+ | 0.1166 | 53.0 | 13250 | 0.1653 | 0.2283 | {'bleu': 0.6957538257225093, 'precisions': [0.8055941406743276, 0.7330148619957537, 0.6637819996779907, 0.5978164512667382], 'brevity_penalty': 1.0, 'length_ratio': 1.1188979159307666, 'translation_length': 31676, 'reference_length': 28310} | {'rouge1': 0.9170466156268146, 'rouge2': 0.8560905896847362, 'rougeL': 0.9166091593124875, 'rougeLsum': 0.9167566551169131} |
114
+ | 0.1132 | 54.0 | 13500 | 0.1623 | 0.2283 | {'bleu': 0.6971893080988518, 'precisions': [0.8059677878682403, 0.73399084684429, 0.6653344636873764, 0.6002808988764045], 'brevity_penalty': 1.0, 'length_ratio': 1.116319321794419, 'translation_length': 31603, 'reference_length': 28310} | {'rouge1': 0.9175452778587116, 'rouge2': 0.8575480061603639, 'rougeL': 0.9172218816167347, 'rougeLsum': 0.9172540131018688} |
115
+ | 0.1132 | 55.0 | 13750 | 0.1667 | 0.2293 | {'bleu': 0.6975980739177902, 'precisions': [0.8057399329919717, 0.734072709233931, 0.6661291622994436, 0.6010750175274597], 'brevity_penalty': 1.0, 'length_ratio': 1.117555634051572, 'translation_length': 31638, 'reference_length': 28310} | {'rouge1': 0.9171777821964284, 'rouge2': 0.8572916924596359, 'rougeL': 0.9167467076983626, 'rougeLsum': 0.9168313215338679} |
116
+ | 0.1101 | 56.0 | 14000 | 0.1704 | 0.2278 | {'bleu': 0.698611601241713, 'precisions': [0.8065433854907539, 0.735355611467451, 0.6671773575777123, 0.6019726078623849], 'brevity_penalty': 1.0, 'length_ratio': 1.1174496644295302, 'translation_length': 31635, 'reference_length': 28310} | {'rouge1': 0.9183634586202567, 'rouge2': 0.8595395157478382, 'rougeL': 0.9182920654950337, 'rougeLsum': 0.9182373756073742} |
117
+ | 0.1101 | 57.0 | 14250 | 0.1684 | 0.2279 | {'bleu': 0.6980651688568622, 'precisions': [0.8069325735992403, 0.7350393980265493, 0.6667339849745537, 0.6004590809012976], 'brevity_penalty': 1.0, 'length_ratio': 1.115860120098905, 'translation_length': 31590, 'reference_length': 28310} | {'rouge1': 0.9187291385295998, 'rouge2': 0.8587807295406684, 'rougeL': 0.9183156716145099, 'rougeLsum': 0.9184362361959191} |
118
+ | 0.1072 | 58.0 | 14500 | 0.1667 | 0.2259 | {'bleu': 0.7016561795652505, 'precisions': [0.8081824490568419, 0.7380683023403805, 0.6708484117410535, 0.605713220560138], 'brevity_penalty': 1.0, 'length_ratio': 1.1198163193217945, 'translation_length': 31702, 'reference_length': 28310} | {'rouge1': 0.9209465213548746, 'rouge2': 0.8633405489736914, 'rougeL': 0.920716491181567, 'rougeLsum': 0.9208754940401405} |
119
+ | 0.1072 | 59.0 | 14750 | 0.1671 | 0.2260 | {'bleu': 0.7010335625872076, 'precisions': [0.807030807030807, 0.7367454994705259, 0.6701452998314201, 0.6061479793517184], 'brevity_penalty': 1.0, 'length_ratio': 1.1213705404450725, 'translation_length': 31746, 'reference_length': 28310} | {'rouge1': 0.9189104710827405, 'rouge2': 0.8608755606605824, 'rougeL': 0.9187382157550807, 'rougeLsum': 0.9186599667158437} |
120
+ | 0.1041 | 60.0 | 15000 | 0.1705 | 0.2260 | {'bleu': 0.7004783913084915, 'precisions': [0.8071336295175977, 0.7369090074503019, 0.6694639630596266, 0.6046338513073416], 'brevity_penalty': 1.0, 'length_ratio': 1.1210526315789473, 'translation_length': 31737, 'reference_length': 28310} | {'rouge1': 0.9200124722605665, 'rouge2': 0.8617854846363244, 'rougeL': 0.9196852481683443, 'rougeLsum': 0.9196781172444772} |
121
+ | 0.1041 | 61.0 | 15250 | 0.1653 | 0.2242 | {'bleu': 0.7044141994867981, 'precisions': [0.8094096115616422, 0.7400176834659593, 0.6739611408343055, 0.6099118840039163], 'brevity_penalty': 1.0, 'length_ratio': 1.1194277640409749, 'translation_length': 31691, 'reference_length': 28310} | {'rouge1': 0.9217144386541566, 'rouge2': 0.8649468461669139, 'rougeL': 0.9212884367791949, 'rougeLsum': 0.9213364646798634} |
122
+ | 0.1004 | 62.0 | 15500 | 0.1668 | 0.2241 | {'bleu': 0.7045613662004655, 'precisions': [0.8100353892821032, 0.7405780674412015, 0.6741215344938749, 0.6093436113057696], 'brevity_penalty': 1.0, 'length_ratio': 1.1179088661250443, 'translation_length': 31648, 'reference_length': 28310} | {'rouge1': 0.9220778457519192, 'rouge2': 0.8653302441431383, 'rougeL': 0.9216515785724653, 'rougeLsum': 0.9216647311088149} |
123
+ | 0.1004 | 63.0 | 15750 | 0.1679 | 0.2249 | {'bleu': 0.7051186472128546, 'precisions': [0.8095629365104446, 0.7408155312289652, 0.6749828705009875, 0.6106542056074766], 'brevity_penalty': 1.0, 'length_ratio': 1.117732250088308, 'translation_length': 31643, 'reference_length': 28310} | {'rouge1': 0.9213853170704294, 'rouge2': 0.8651333793191416, 'rougeL': 0.9210709640182315, 'rougeLsum': 0.9211209701199694} |
124
+ | 0.0952 | 64.0 | 16000 | 0.1704 | 0.2259 | {'bleu': 0.7005323983436218, 'precisions': [0.8080836809505751, 0.7373529828539039, 0.669555054006126, 0.6036633802158777], 'brevity_penalty': 1.0, 'length_ratio': 1.1177675732956553, 'translation_length': 31644, 'reference_length': 28310} | {'rouge1': 0.920210559153061, 'rouge2': 0.8623975149689453, 'rougeL': 0.9197691946569866, 'rougeLsum': 0.9199395967770367} |
125
+ | 0.0952 | 65.0 | 16250 | 0.1672 | 0.2241 | {'bleu': 0.7060033377987773, 'precisions': [0.8103219277718045, 0.7416507126143373, 0.6757966922146027, 0.6117217830581412], 'brevity_penalty': 1.0, 'length_ratio': 1.1169904627340161, 'translation_length': 31622, 'reference_length': 28310} | {'rouge1': 0.921902831041014, 'rouge2': 0.866202812195918, 'rougeL': 0.9216396579521835, 'rougeLsum': 0.9217682869783637} |
126
+ | 0.0957 | 66.0 | 16500 | 0.1722 | 0.2228 | {'bleu': 0.7064654921544843, 'precisions': [0.8104661806015845, 0.7417837053808328, 0.6763108124421553, 0.6126399253731343], 'brevity_penalty': 1.0, 'length_ratio': 1.119145178382197, 'translation_length': 31683, 'reference_length': 28310} | {'rouge1': 0.9219434308511755, 'rouge2': 0.8656318720857975, 'rougeL': 0.9215460814670394, 'rougeLsum': 0.9216428260060543} |
127
+ | 0.0957 | 67.0 | 16750 | 0.1675 | 0.2249 | {'bleu': 0.7051057423129187, 'precisions': [0.8102185151121118, 0.7410634892406189, 0.6747641604923276, 0.61010898158587], 'brevity_penalty': 1.0, 'length_ratio': 1.1137760508654186, 'translation_length': 31531, 'reference_length': 28310} | {'rouge1': 0.9203795692297823, 'rouge2': 0.8632681126226148, 'rougeL': 0.9201400984459089, 'rougeLsum': 0.9201320100889545} |
128
+ | 0.0941 | 68.0 | 17000 | 0.1682 | 0.2227 | {'bleu': 0.7076222719778471, 'precisions': [0.8112235219728107, 0.7429290423194159, 0.6775949673360755, 0.6139711039416468], 'brevity_penalty': 1.0, 'length_ratio': 1.117273048392794, 'translation_length': 31630, 'reference_length': 28310} | {'rouge1': 0.9230846878776521, 'rouge2': 0.8675318080450498, 'rougeL': 0.9228049915850105, 'rougeLsum': 0.9227780467865668} |
129
+ | 0.0941 | 69.0 | 17250 | 0.1685 | 0.2220 | {'bleu': 0.7091569326556427, 'precisions': [0.812025556680162, 0.744113475177305, 0.67890574564235, 0.6165255228559398], 'brevity_penalty': 1.0, 'length_ratio': 1.1167785234899328, 'translation_length': 31616, 'reference_length': 28310} | {'rouge1': 0.9226701085514796, 'rouge2': 0.867217116394777, 'rougeL': 0.9224081952300498, 'rougeLsum': 0.9223496600457706} |
130
+ | 0.0906 | 70.0 | 17500 | 0.1698 | 0.2246 | {'bleu': 0.7044658387712242, 'precisions': [0.8098930312045066, 0.7405081257540274, 0.6740692885407413, 0.6092250058534301], 'brevity_penalty': 1.0, 'length_ratio': 1.1161427057576827, 'translation_length': 31598, 'reference_length': 28310} | {'rouge1': 0.921670926824965, 'rouge2': 0.8649207078216781, 'rougeL': 0.9213491025074665, 'rougeLsum': 0.9214347837843797} |
131
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