maren-hugg
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update model card README.md
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README.md
CHANGED
@@ -48,16 +48,6 @@ It achieves the following results on the evaluation set:
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- Precision: 0.8163
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- Recall: 0.8311
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- Accuracy: 0.8237
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- Classification Report: precision recall f1-score support
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LOC 0.85 0.85 0.85 4834
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ORG 0.78 0.74 0.76 4677
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PER 0.89 0.89 0.89 4635
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micro avg 0.84 0.83 0.83 14146
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macro avg 0.84 0.83 0.83 14146
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weighted avg 0.84 0.83 0.83 14146
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## Model description
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@@ -86,1053 +76,117 @@ The following hyperparameters were used during training:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy |
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| 1.2644 | 0.03 | 24 | 0.8175 | 0.4212 | 0.3696 | 0.4897 | 0.4212 |
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PER 0.80 0.86 0.83 4635
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micro avg 0.75 0.75 0.75 14146
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macro avg 0.75 0.75 0.75 14146
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weighted avg 0.75 0.75 0.75 14146
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| 0.3789 | 0.35 | 288 | 0.3533 | 0.7208 | 0.6922 | 0.7519 | 0.7208 | precision recall f1-score support
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LOC 0.78 0.72 0.75 4834
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ORG 0.65 0.66 0.65 4677
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PER 0.77 0.86 0.81 4635
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micro avg 0.73 0.75 0.74 14146
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macro avg 0.73 0.75 0.74 14146
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weighted avg 0.73 0.75 0.74 14146
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| 0.4032 | 0.37 | 312 | 0.3567 | 0.7252 | 0.7125 | 0.7383 | 0.7252 | precision recall f1-score support
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LOC 0.74 0.73 0.74 4834
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ORG 0.67 0.62 0.64 4677
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PER 0.88 0.84 0.86 4635
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micro avg 0.77 0.73 0.75 14146
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macro avg 0.77 0.73 0.75 14146
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weighted avg 0.76 0.73 0.75 14146
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| 0.371 | 0.4 | 336 | 0.3282 | 0.7433 | 0.7255 | 0.7620 | 0.7433 | precision recall f1-score support
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LOC 0.78 0.77 0.77 4834
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ORG 0.71 0.64 0.67 4677
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PER 0.88 0.85 0.86 4635
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micro avg 0.79 0.75 0.77 14146
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macro avg 0.79 0.75 0.77 14146
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weighted avg 0.79 0.75 0.77 14146
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| 0.3397 | 0.43 | 360 | 0.3304 | 0.7522 | 0.7312 | 0.7745 | 0.7522 | precision recall f1-score support
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LOC 0.83 0.76 0.80 4834
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ORG 0.65 0.68 0.67 4677
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PER 0.84 0.87 0.86 4635
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micro avg 0.77 0.77 0.77 14146
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macro avg 0.78 0.77 0.77 14146
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weighted avg 0.78 0.77 0.77 14146
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| 0.3871 | 0.46 | 384 | 0.3244 | 0.7427 | 0.7160 | 0.7715 | 0.7427 | precision recall f1-score support
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LOC 0.79 0.77 0.78 4834
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ORG 0.67 0.67 0.67 4677
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PER 0.83 0.86 0.85 4635
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micro avg 0.76 0.77 0.77 14146
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macro avg 0.76 0.77 0.77 14146
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weighted avg 0.76 0.77 0.77 14146
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| 0.3461 | 0.49 | 408 | 0.3284 | 0.7520 | 0.7298 | 0.7756 | 0.7520 | precision recall f1-score support
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LOC 0.77 0.81 0.79 4834
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ORG 0.69 0.64 0.66 4677
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PER 0.83 0.87 0.85 4635
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micro avg 0.77 0.77 0.77 14146
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macro avg 0.77 0.77 0.77 14146
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weighted avg 0.77 0.77 0.77 14146
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| 0.3504 | 0.52 | 432 | 0.3049 | 0.7574 | 0.7418 | 0.7737 | 0.7574 | precision recall f1-score support
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LOC 0.79 0.80 0.79 4834
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ORG 0.70 0.67 0.68 4677
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PER 0.87 0.84 0.85 4635
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micro avg 0.79 0.77 0.78 14146
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macro avg 0.79 0.77 0.78 14146
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weighted avg 0.79 0.77 0.78 14146
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| 0.3387 | 0.55 | 456 | 0.3178 | 0.7717 | 0.7537 | 0.7906 | 0.7717 | precision recall f1-score support
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LOC 0.79 0.81 0.80 4834
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ORG 0.70 0.71 0.71 4677
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PER 0.88 0.85 0.86 4635
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micro avg 0.79 0.79 0.79 14146
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macro avg 0.79 0.79 0.79 14146
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weighted avg 0.79 0.79 0.79 14146
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| 0.3259 | 0.58 | 480 | 0.3026 | 0.7738 | 0.7636 | 0.7843 | 0.7738 | precision recall f1-score support
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LOC 0.81 0.79 0.80 4834
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ORG 0.73 0.67 0.70 4677
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PER 0.88 0.86 0.87 4635
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micro avg 0.81 0.78 0.79 14146
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macro avg 0.81 0.78 0.79 14146
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weighted avg 0.81 0.78 0.79 14146
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| 0.3473 | 0.6 | 504 | 0.3254 | 0.7324 | 0.7090 | 0.7574 | 0.7324 | precision recall f1-score support
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LOC 0.79 0.69 0.74 4834
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ORG 0.65 0.70 0.67 4677
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PER 0.83 0.87 0.85 4635
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micro avg 0.75 0.75 0.75 14146
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macro avg 0.75 0.75 0.75 14146
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weighted avg 0.75 0.75 0.75 14146
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| 0.2893 | 0.63 | 528 | 0.3102 | 0.7689 | 0.7571 | 0.7810 | 0.7689 | precision recall f1-score support
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LOC 0.80 0.79 0.80 4834
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ORG 0.69 0.67 0.68 4677
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PER 0.88 0.87 0.88 4635
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micro avg 0.79 0.78 0.79 14146
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macro avg 0.79 0.78 0.79 14146
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weighted avg 0.79 0.78 0.79 14146
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| 0.3669 | 0.66 | 552 | 0.3119 | 0.7631 | 0.7528 | 0.7737 | 0.7631 | precision recall f1-score support
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LOC 0.78 0.83 0.81 4834
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ORG 0.72 0.60 0.65 4677
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PER 0.86 0.88 0.87 4635
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micro avg 0.79 0.77 0.78 14146
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macro avg 0.79 0.77 0.78 14146
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weighted avg 0.78 0.77 0.78 14146
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| 0.312 | 0.69 | 576 | 0.2963 | 0.7818 | 0.7734 | 0.7905 | 0.7818 | precision recall f1-score support
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LOC 0.81 0.80 0.81 4834
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ORG 0.74 0.69 0.71 4677
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PER 0.86 0.86 0.86 4635
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micro avg 0.80 0.79 0.80 14146
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macro avg 0.80 0.79 0.79 14146
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weighted avg 0.80 0.79 0.79 14146
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| 0.297 | 0.72 | 600 | 0.3217 | 0.7542 | 0.7332 | 0.7765 | 0.7542 | precision recall f1-score support
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LOC 0.80 0.73 0.76 4834
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ORG 0.67 0.72 0.69 4677
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PER 0.84 0.88 0.86 4635
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micro avg 0.77 0.77 0.77 14146
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macro avg 0.77 0.78 0.77 14146
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weighted avg 0.77 0.77 0.77 14146
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| 0.3095 | 0.75 | 624 | 0.3038 | 0.7732 | 0.7580 | 0.7891 | 0.7732 | precision recall f1-score support
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LOC 0.85 0.76 0.80 4834
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ORG 0.67 0.71 0.69 4677
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PER 0.86 0.88 0.87 4635
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micro avg 0.79 0.78 0.79 14146
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macro avg 0.79 0.79 0.79 14146
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weighted avg 0.79 0.78 0.79 14146
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| 0.3514 | 0.78 | 648 | 0.2913 | 0.7794 | 0.7669 | 0.7924 | 0.7794 | precision recall f1-score support
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LOC 0.83 0.81 0.82 4834
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ORG 0.72 0.66 0.69 4677
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PER 0.86 0.89 0.87 4635
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micro avg 0.81 0.79 0.80 14146
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macro avg 0.80 0.79 0.79 14146
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weighted avg 0.80 0.79 0.79 14146
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| 0.2824 | 0.81 | 672 | 0.3008 | 0.7813 | 0.7752 | 0.7876 | 0.7813 | precision recall f1-score support
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LOC 0.80 0.81 0.80 4834
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ORG 0.76 0.67 0.71 4677
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PER 0.85 0.87 0.86 4635
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micro avg 0.81 0.78 0.79 14146
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macro avg 0.80 0.78 0.79 14146
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weighted avg 0.80 0.78 0.79 14146
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| 0.3203 | 0.83 | 696 | 0.2915 | 0.7807 | 0.7641 | 0.7980 | 0.7807 | precision recall f1-score support
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LOC 0.80 0.81 0.80 4834
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ORG 0.72 0.70 0.71 4677
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PER 0.86 0.87 0.87 4635
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micro avg 0.80 0.79 0.80 14146
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macro avg 0.80 0.79 0.80 14146
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weighted avg 0.80 0.79 0.80 14146
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| 0.3089 | 0.86 | 720 | 0.2941 | 0.7838 | 0.7755 | 0.7923 | 0.7838 | precision recall f1-score support
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LOC 0.80 0.83 0.81 4834
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ORG 0.74 0.66 0.70 4677
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PER 0.87 0.87 0.87 4635
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micro avg 0.81 0.79 0.80 14146
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macro avg 0.81 0.79 0.79 14146
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weighted avg 0.80 0.79 0.79 14146
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| 0.3174 | 0.89 | 744 | 0.2986 | 0.7770 | 0.7609 | 0.7937 | 0.7770 | precision recall f1-score support
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LOC 0.77 0.84 0.80 4834
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ORG 0.73 0.66 0.70 4677
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PER 0.87 0.86 0.86 4635
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micro avg 0.79 0.79 0.79 14146
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macro avg 0.79 0.79 0.79 14146
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weighted avg 0.79 0.79 0.79 14146
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| 0.3264 | 0.92 | 768 | 0.2783 | 0.7788 | 0.7630 | 0.7951 | 0.7788 | precision recall f1-score support
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LOC 0.77 0.82 0.79 4834
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ORG 0.75 0.68 0.71 4677
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PER 0.86 0.88 0.87 4635
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micro avg 0.79 0.79 0.79 14146
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macro avg 0.79 0.79 0.79 14146
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weighted avg 0.79 0.79 0.79 14146
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| 0.2815 | 0.95 | 792 | 0.2861 | 0.7848 | 0.7704 | 0.7998 | 0.7848 | precision recall f1-score support
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LOC 0.82 0.81 0.81 4834
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ORG 0.70 0.73 0.72 4677
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PER 0.88 0.85 0.86 4635
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micro avg 0.80 0.80 0.80 14146
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macro avg 0.80 0.80 0.80 14146
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weighted avg 0.80 0.80 0.80 14146
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| 0.2895 | 0.98 | 816 | 0.2799 | 0.7842 | 0.7702 | 0.7988 | 0.7842 | precision recall f1-score support
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LOC 0.80 0.80 0.80 4834
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ORG 0.73 0.72 0.73 4677
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PER 0.90 0.87 0.88 4635
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micro avg 0.81 0.79 0.80 14146
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macro avg 0.81 0.79 0.80 14146
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weighted avg 0.81 0.79 0.80 14146
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| 0.3023 | 1.01 | 840 | 0.2818 | 0.7876 | 0.7722 | 0.8038 | 0.7876 | precision recall f1-score support
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LOC 0.81 0.83 0.82 4834
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ORG 0.71 0.71 0.71 4677
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PER 0.88 0.86 0.87 4635
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micro avg 0.80 0.80 0.80 14146
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macro avg 0.80 0.80 0.80 14146
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weighted avg 0.80 0.80 0.80 14146
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| 0.2358 | 1.04 | 864 | 0.2924 | 0.7836 | 0.7750 | 0.7925 | 0.7836 | precision recall f1-score support
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LOC 0.84 0.79 0.82 4834
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ORG 0.70 0.70 0.70 4677
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PER 0.88 0.88 0.88 4635
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micro avg 0.81 0.79 0.80 14146
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macro avg 0.81 0.79 0.80 14146
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weighted avg 0.81 0.79 0.80 14146
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| 0.2819 | 1.06 | 888 | 0.2861 | 0.7761 | 0.7696 | 0.7828 | 0.7761 | precision recall f1-score support
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LOC 0.83 0.80 0.81 4834
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ORG 0.77 0.63 0.69 4677
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PER 0.81 0.91 0.85 4635
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micro avg 0.81 0.78 0.79 14146
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macro avg 0.80 0.78 0.79 14146
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weighted avg 0.80 0.78 0.79 14146
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| 0.2692 | 1.09 | 912 | 0.2924 | 0.7756 | 0.7680 | 0.7833 | 0.7756 | precision recall f1-score support
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LOC 0.82 0.77 0.80 4834
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ORG 0.75 0.68 0.71 4677
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PER 0.82 0.89 0.85 4635
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micro avg 0.80 0.78 0.79 14146
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468 |
-
macro avg 0.80 0.78 0.79 14146
|
469 |
-
weighted avg 0.80 0.78 0.79 14146
|
470 |
-
|
|
471 |
-
| 0.2478 | 1.12 | 936 | 0.2963 | 0.7833 | 0.7599 | 0.8082 | 0.7833 | precision recall f1-score support
|
472 |
-
|
473 |
-
LOC 0.79 0.85 0.82 4834
|
474 |
-
ORG 0.72 0.68 0.70 4677
|
475 |
-
PER 0.87 0.88 0.87 4635
|
476 |
-
|
477 |
-
micro avg 0.79 0.80 0.80 14146
|
478 |
-
macro avg 0.79 0.80 0.80 14146
|
479 |
-
weighted avg 0.79 0.80 0.80 14146
|
480 |
-
|
|
481 |
-
| 0.2557 | 1.15 | 960 | 0.2960 | 0.7783 | 0.7814 | 0.7751 | 0.7783 | precision recall f1-score support
|
482 |
-
|
483 |
-
LOC 0.81 0.73 0.77 4834
|
484 |
-
ORG 0.73 0.71 0.72 4677
|
485 |
-
PER 0.89 0.88 0.89 4635
|
486 |
-
|
487 |
-
micro avg 0.81 0.77 0.79 14146
|
488 |
-
macro avg 0.81 0.77 0.79 14146
|
489 |
-
weighted avg 0.81 0.77 0.79 14146
|
490 |
-
|
|
491 |
-
| 0.3003 | 1.18 | 984 | 0.2656 | 0.7862 | 0.7727 | 0.8002 | 0.7862 | precision recall f1-score support
|
492 |
-
|
493 |
-
LOC 0.81 0.83 0.82 4834
|
494 |
-
ORG 0.73 0.68 0.71 4677
|
495 |
-
PER 0.88 0.87 0.87 4635
|
496 |
-
|
497 |
-
micro avg 0.81 0.80 0.80 14146
|
498 |
-
macro avg 0.81 0.80 0.80 14146
|
499 |
-
weighted avg 0.81 0.80 0.80 14146
|
500 |
-
|
|
501 |
-
| 0.2254 | 1.21 | 1008 | 0.2791 | 0.8007 | 0.7890 | 0.8129 | 0.8007 | precision recall f1-score support
|
502 |
-
|
503 |
-
LOC 0.83 0.82 0.82 4834
|
504 |
-
ORG 0.73 0.73 0.73 4677
|
505 |
-
PER 0.88 0.88 0.88 4635
|
506 |
-
|
507 |
-
micro avg 0.82 0.81 0.81 14146
|
508 |
-
macro avg 0.82 0.81 0.81 14146
|
509 |
-
weighted avg 0.82 0.81 0.81 14146
|
510 |
-
|
|
511 |
-
| 0.2496 | 1.24 | 1032 | 0.2702 | 0.7877 | 0.7701 | 0.8062 | 0.7877 | precision recall f1-score support
|
512 |
-
|
513 |
-
LOC 0.78 0.85 0.81 4834
|
514 |
-
ORG 0.74 0.68 0.71 4677
|
515 |
-
PER 0.88 0.89 0.89 4635
|
516 |
-
|
517 |
-
micro avg 0.80 0.81 0.80 14146
|
518 |
-
macro avg 0.80 0.80 0.80 14146
|
519 |
-
weighted avg 0.80 0.81 0.80 14146
|
520 |
-
|
|
521 |
-
| 0.2124 | 1.27 | 1056 | 0.2888 | 0.7952 | 0.7895 | 0.8011 | 0.7952 | precision recall f1-score support
|
522 |
-
|
523 |
-
LOC 0.85 0.79 0.82 4834
|
524 |
-
ORG 0.75 0.71 0.73 4677
|
525 |
-
PER 0.85 0.89 0.87 4635
|
526 |
-
|
527 |
-
micro avg 0.82 0.80 0.81 14146
|
528 |
-
macro avg 0.82 0.80 0.81 14146
|
529 |
-
weighted avg 0.82 0.80 0.81 14146
|
530 |
-
|
|
531 |
-
| 0.2841 | 1.29 | 1080 | 0.2761 | 0.7946 | 0.7870 | 0.8023 | 0.7946 | precision recall f1-score support
|
532 |
-
|
533 |
-
LOC 0.82 0.85 0.83 4834
|
534 |
-
ORG 0.73 0.68 0.70 4677
|
535 |
-
PER 0.89 0.87 0.88 4635
|
536 |
-
|
537 |
-
micro avg 0.82 0.80 0.81 14146
|
538 |
-
macro avg 0.81 0.80 0.81 14146
|
539 |
-
weighted avg 0.81 0.80 0.81 14146
|
540 |
-
|
|
541 |
-
| 0.2517 | 1.32 | 1104 | 0.2659 | 0.8026 | 0.7909 | 0.8146 | 0.8026 | precision recall f1-score support
|
542 |
-
|
543 |
-
LOC 0.81 0.84 0.82 4834
|
544 |
-
ORG 0.76 0.72 0.74 4677
|
545 |
-
PER 0.88 0.88 0.88 4635
|
546 |
-
|
547 |
-
micro avg 0.82 0.81 0.82 14146
|
548 |
-
macro avg 0.82 0.81 0.81 14146
|
549 |
-
weighted avg 0.82 0.81 0.81 14146
|
550 |
-
|
|
551 |
-
| 0.2355 | 1.35 | 1128 | 0.2681 | 0.8003 | 0.7876 | 0.8134 | 0.8003 | precision recall f1-score support
|
552 |
-
|
553 |
-
LOC 0.83 0.82 0.82 4834
|
554 |
-
ORG 0.75 0.72 0.74 4677
|
555 |
-
PER 0.88 0.89 0.88 4635
|
556 |
-
|
557 |
-
micro avg 0.82 0.81 0.81 14146
|
558 |
-
macro avg 0.82 0.81 0.81 14146
|
559 |
-
weighted avg 0.82 0.81 0.81 14146
|
560 |
-
|
|
561 |
-
| 0.2402 | 1.38 | 1152 | 0.2701 | 0.7991 | 0.7892 | 0.8093 | 0.7991 | precision recall f1-score support
|
562 |
-
|
563 |
-
LOC 0.83 0.81 0.82 4834
|
564 |
-
ORG 0.73 0.73 0.73 4677
|
565 |
-
PER 0.90 0.88 0.89 4635
|
566 |
-
|
567 |
-
micro avg 0.82 0.81 0.81 14146
|
568 |
-
macro avg 0.82 0.81 0.81 14146
|
569 |
-
weighted avg 0.82 0.81 0.81 14146
|
570 |
-
|
|
571 |
-
| 0.2296 | 1.41 | 1176 | 0.2753 | 0.7946 | 0.7819 | 0.8077 | 0.7946 | precision recall f1-score support
|
572 |
-
|
573 |
-
LOC 0.81 0.83 0.82 4834
|
574 |
-
ORG 0.76 0.70 0.73 4677
|
575 |
-
PER 0.86 0.88 0.87 4635
|
576 |
-
|
577 |
-
micro avg 0.81 0.81 0.81 14146
|
578 |
-
macro avg 0.81 0.81 0.81 14146
|
579 |
-
weighted avg 0.81 0.81 0.81 14146
|
580 |
-
|
|
581 |
-
| 0.2453 | 1.44 | 1200 | 0.2696 | 0.8029 | 0.7912 | 0.8149 | 0.8029 | precision recall f1-score support
|
582 |
-
|
583 |
-
LOC 0.84 0.82 0.83 4834
|
584 |
-
ORG 0.75 0.72 0.74 4677
|
585 |
-
PER 0.87 0.89 0.88 4635
|
586 |
-
|
587 |
-
micro avg 0.82 0.81 0.82 14146
|
588 |
-
macro avg 0.82 0.81 0.81 14146
|
589 |
-
weighted avg 0.82 0.81 0.81 14146
|
590 |
-
|
|
591 |
-
| 0.2689 | 1.47 | 1224 | 0.2700 | 0.7936 | 0.7819 | 0.8056 | 0.7936 | precision recall f1-score support
|
592 |
-
|
593 |
-
LOC 0.81 0.83 0.82 4834
|
594 |
-
ORG 0.76 0.70 0.73 4677
|
595 |
-
PER 0.89 0.87 0.88 4635
|
596 |
-
|
597 |
-
micro avg 0.82 0.80 0.81 14146
|
598 |
-
macro avg 0.82 0.80 0.81 14146
|
599 |
-
weighted avg 0.82 0.80 0.81 14146
|
600 |
-
|
|
601 |
-
| 0.2362 | 1.5 | 1248 | 0.2705 | 0.8028 | 0.8005 | 0.8051 | 0.8028 | precision recall f1-score support
|
602 |
-
|
603 |
-
LOC 0.82 0.83 0.83 4834
|
604 |
-
ORG 0.77 0.70 0.73 4677
|
605 |
-
PER 0.90 0.88 0.89 4635
|
606 |
-
|
607 |
-
micro avg 0.83 0.80 0.82 14146
|
608 |
-
macro avg 0.83 0.80 0.81 14146
|
609 |
-
weighted avg 0.83 0.80 0.81 14146
|
610 |
-
|
|
611 |
-
| 0.226 | 1.53 | 1272 | 0.2642 | 0.8042 | 0.7910 | 0.8180 | 0.8042 | precision recall f1-score support
|
612 |
-
|
613 |
-
LOC 0.84 0.84 0.84 4834
|
614 |
-
ORG 0.74 0.72 0.73 4677
|
615 |
-
PER 0.86 0.89 0.87 4635
|
616 |
-
|
617 |
-
micro avg 0.81 0.82 0.81 14146
|
618 |
-
macro avg 0.81 0.82 0.81 14146
|
619 |
-
weighted avg 0.81 0.82 0.81 14146
|
620 |
-
|
|
621 |
-
| 0.2139 | 1.55 | 1296 | 0.2690 | 0.8013 | 0.7942 | 0.8084 | 0.8013 | precision recall f1-score support
|
622 |
-
|
623 |
-
LOC 0.86 0.78 0.82 4834
|
624 |
-
ORG 0.72 0.76 0.74 4677
|
625 |
-
PER 0.88 0.88 0.88 4635
|
626 |
-
|
627 |
-
micro avg 0.82 0.81 0.81 14146
|
628 |
-
macro avg 0.82 0.81 0.81 14146
|
629 |
-
weighted avg 0.82 0.81 0.81 14146
|
630 |
-
|
|
631 |
-
| 0.2744 | 1.58 | 1320 | 0.2619 | 0.7999 | 0.7841 | 0.8163 | 0.7999 | precision recall f1-score support
|
632 |
-
|
633 |
-
LOC 0.84 0.81 0.82 4834
|
634 |
-
ORG 0.71 0.75 0.73 4677
|
635 |
-
PER 0.88 0.88 0.88 4635
|
636 |
-
|
637 |
-
micro avg 0.81 0.81 0.81 14146
|
638 |
-
macro avg 0.81 0.81 0.81 14146
|
639 |
-
weighted avg 0.81 0.81 0.81 14146
|
640 |
-
|
|
641 |
-
| 0.2015 | 1.61 | 1344 | 0.2640 | 0.8066 | 0.8035 | 0.8098 | 0.8066 | precision recall f1-score support
|
642 |
-
|
643 |
-
LOC 0.83 0.83 0.83 4834
|
644 |
-
ORG 0.76 0.71 0.74 4677
|
645 |
-
PER 0.89 0.88 0.89 4635
|
646 |
-
|
647 |
-
micro avg 0.83 0.81 0.82 14146
|
648 |
-
macro avg 0.83 0.81 0.82 14146
|
649 |
-
weighted avg 0.83 0.81 0.82 14146
|
650 |
-
|
|
651 |
-
| 0.1949 | 1.64 | 1368 | 0.2750 | 0.8075 | 0.8023 | 0.8129 | 0.8075 | precision recall f1-score support
|
652 |
-
|
653 |
-
LOC 0.82 0.84 0.83 4834
|
654 |
-
ORG 0.77 0.70 0.73 4677
|
655 |
-
PER 0.90 0.88 0.89 4635
|
656 |
-
|
657 |
-
micro avg 0.83 0.81 0.82 14146
|
658 |
-
macro avg 0.83 0.81 0.82 14146
|
659 |
-
weighted avg 0.83 0.81 0.82 14146
|
660 |
-
|
|
661 |
-
| 0.2259 | 1.67 | 1392 | 0.2669 | 0.8092 | 0.7997 | 0.8189 | 0.8092 | precision recall f1-score support
|
662 |
-
|
663 |
-
LOC 0.81 0.86 0.83 4834
|
664 |
-
ORG 0.77 0.73 0.75 4677
|
665 |
-
PER 0.89 0.86 0.88 4635
|
666 |
-
|
667 |
-
micro avg 0.82 0.82 0.82 14146
|
668 |
-
macro avg 0.82 0.82 0.82 14146
|
669 |
-
weighted avg 0.82 0.82 0.82 14146
|
670 |
-
|
|
671 |
-
| 0.1884 | 1.7 | 1416 | 0.2729 | 0.8061 | 0.7990 | 0.8133 | 0.8061 | precision recall f1-score support
|
672 |
-
|
673 |
-
LOC 0.82 0.83 0.83 4834
|
674 |
-
ORG 0.75 0.73 0.74 4677
|
675 |
-
PER 0.91 0.87 0.89 4635
|
676 |
-
|
677 |
-
micro avg 0.82 0.81 0.82 14146
|
678 |
-
macro avg 0.83 0.81 0.82 14146
|
679 |
-
weighted avg 0.83 0.81 0.82 14146
|
680 |
-
|
|
681 |
-
| 0.1868 | 1.73 | 1440 | 0.2679 | 0.8083 | 0.8007 | 0.8161 | 0.8083 | precision recall f1-score support
|
682 |
-
|
683 |
-
LOC 0.84 0.83 0.84 4834
|
684 |
-
ORG 0.77 0.71 0.74 4677
|
685 |
-
PER 0.86 0.89 0.88 4635
|
686 |
-
|
687 |
-
micro avg 0.83 0.81 0.82 14146
|
688 |
-
macro avg 0.83 0.81 0.82 14146
|
689 |
-
weighted avg 0.83 0.81 0.82 14146
|
690 |
-
|
|
691 |
-
| 0.2292 | 1.76 | 1464 | 0.2658 | 0.8055 | 0.7954 | 0.8158 | 0.8055 | precision recall f1-score support
|
692 |
-
|
693 |
-
LOC 0.82 0.83 0.83 4834
|
694 |
-
ORG 0.76 0.73 0.74 4677
|
695 |
-
PER 0.87 0.88 0.88 4635
|
696 |
-
|
697 |
-
micro avg 0.82 0.81 0.82 14146
|
698 |
-
macro avg 0.82 0.81 0.82 14146
|
699 |
-
weighted avg 0.82 0.81 0.82 14146
|
700 |
-
|
|
701 |
-
| 0.22 | 1.78 | 1488 | 0.2610 | 0.8066 | 0.8006 | 0.8126 | 0.8066 | precision recall f1-score support
|
702 |
-
|
703 |
-
LOC 0.83 0.83 0.83 4834
|
704 |
-
ORG 0.76 0.72 0.74 4677
|
705 |
-
PER 0.89 0.87 0.88 4635
|
706 |
-
|
707 |
-
micro avg 0.83 0.81 0.82 14146
|
708 |
-
macro avg 0.83 0.81 0.82 14146
|
709 |
-
weighted avg 0.83 0.81 0.82 14146
|
710 |
-
|
|
711 |
-
| 0.2335 | 1.81 | 1512 | 0.2613 | 0.7997 | 0.7816 | 0.8185 | 0.7997 | precision recall f1-score support
|
712 |
-
|
713 |
-
LOC 0.79 0.87 0.83 4834
|
714 |
-
ORG 0.77 0.68 0.72 4677
|
715 |
-
PER 0.86 0.90 0.88 4635
|
716 |
-
|
717 |
-
micro avg 0.81 0.82 0.81 14146
|
718 |
-
macro avg 0.81 0.82 0.81 14146
|
719 |
-
weighted avg 0.81 0.82 0.81 14146
|
720 |
-
|
|
721 |
-
| 0.2379 | 1.84 | 1536 | 0.2495 | 0.8081 | 0.7975 | 0.8190 | 0.8081 | precision recall f1-score support
|
722 |
-
|
723 |
-
LOC 0.83 0.83 0.83 4834
|
724 |
-
ORG 0.77 0.73 0.75 4677
|
725 |
-
PER 0.87 0.89 0.88 4635
|
726 |
-
|
727 |
-
micro avg 0.83 0.82 0.82 14146
|
728 |
-
macro avg 0.83 0.82 0.82 14146
|
729 |
-
weighted avg 0.83 0.82 0.82 14146
|
730 |
-
|
|
731 |
-
| 0.2394 | 1.87 | 1560 | 0.2619 | 0.8063 | 0.7951 | 0.8177 | 0.8063 | precision recall f1-score support
|
732 |
-
|
733 |
-
LOC 0.84 0.83 0.83 4834
|
734 |
-
ORG 0.74 0.75 0.74 4677
|
735 |
-
PER 0.91 0.86 0.88 4635
|
736 |
-
|
737 |
-
micro avg 0.82 0.81 0.82 14146
|
738 |
-
macro avg 0.83 0.81 0.82 14146
|
739 |
-
weighted avg 0.83 0.81 0.82 14146
|
740 |
-
|
|
741 |
-
| 0.2526 | 1.9 | 1584 | 0.2502 | 0.8116 | 0.8032 | 0.8202 | 0.8116 | precision recall f1-score support
|
742 |
-
|
743 |
-
LOC 0.85 0.82 0.84 4834
|
744 |
-
ORG 0.77 0.73 0.75 4677
|
745 |
-
PER 0.86 0.90 0.88 4635
|
746 |
-
|
747 |
-
micro avg 0.83 0.82 0.82 14146
|
748 |
-
macro avg 0.83 0.82 0.82 14146
|
749 |
-
weighted avg 0.83 0.82 0.82 14146
|
750 |
-
|
|
751 |
-
| 0.2167 | 1.93 | 1608 | 0.2528 | 0.8134 | 0.8000 | 0.8273 | 0.8134 | precision recall f1-score support
|
752 |
-
|
753 |
-
LOC 0.83 0.86 0.84 4834
|
754 |
-
ORG 0.75 0.73 0.74 4677
|
755 |
-
PER 0.88 0.89 0.88 4635
|
756 |
-
|
757 |
-
micro avg 0.82 0.82 0.82 14146
|
758 |
-
macro avg 0.82 0.82 0.82 14146
|
759 |
-
weighted avg 0.82 0.82 0.82 14146
|
760 |
-
|
|
761 |
-
| 0.2354 | 1.96 | 1632 | 0.2449 | 0.8099 | 0.8013 | 0.8188 | 0.8099 | precision recall f1-score support
|
762 |
-
|
763 |
-
LOC 0.84 0.84 0.84 4834
|
764 |
-
ORG 0.75 0.72 0.74 4677
|
765 |
-
PER 0.89 0.89 0.89 4635
|
766 |
-
|
767 |
-
micro avg 0.83 0.82 0.82 14146
|
768 |
-
macro avg 0.83 0.82 0.82 14146
|
769 |
-
weighted avg 0.83 0.82 0.82 14146
|
770 |
-
|
|
771 |
-
| 0.2808 | 1.99 | 1656 | 0.2469 | 0.8067 | 0.7938 | 0.8201 | 0.8067 | precision recall f1-score support
|
772 |
-
|
773 |
-
LOC 0.84 0.82 0.83 4834
|
774 |
-
ORG 0.76 0.74 0.75 4677
|
775 |
-
PER 0.88 0.89 0.89 4635
|
776 |
-
|
777 |
-
micro avg 0.83 0.82 0.82 14146
|
778 |
-
macro avg 0.83 0.82 0.82 14146
|
779 |
-
weighted avg 0.83 0.82 0.82 14146
|
780 |
-
|
|
781 |
-
| 0.1924 | 2.01 | 1680 | 0.2487 | 0.8077 | 0.7930 | 0.8229 | 0.8077 | precision recall f1-score support
|
782 |
-
|
783 |
-
LOC 0.82 0.85 0.83 4834
|
784 |
-
ORG 0.75 0.72 0.74 4677
|
785 |
-
PER 0.88 0.90 0.89 4635
|
786 |
-
|
787 |
-
micro avg 0.82 0.82 0.82 14146
|
788 |
-
macro avg 0.82 0.82 0.82 14146
|
789 |
-
weighted avg 0.82 0.82 0.82 14146
|
790 |
-
|
|
791 |
-
| 0.1498 | 2.04 | 1704 | 0.2619 | 0.8127 | 0.8015 | 0.8242 | 0.8127 | precision recall f1-score support
|
792 |
-
|
793 |
-
LOC 0.85 0.84 0.84 4834
|
794 |
-
ORG 0.73 0.75 0.74 4677
|
795 |
-
PER 0.90 0.88 0.89 4635
|
796 |
-
|
797 |
-
micro avg 0.82 0.82 0.82 14146
|
798 |
-
macro avg 0.83 0.82 0.82 14146
|
799 |
-
weighted avg 0.83 0.82 0.82 14146
|
800 |
-
|
|
801 |
-
| 0.2 | 2.07 | 1728 | 0.2590 | 0.8133 | 0.8044 | 0.8224 | 0.8133 | precision recall f1-score support
|
802 |
-
|
803 |
-
LOC 0.84 0.85 0.84 4834
|
804 |
-
ORG 0.77 0.71 0.74 4677
|
805 |
-
PER 0.88 0.90 0.89 4635
|
806 |
-
|
807 |
-
micro avg 0.83 0.82 0.82 14146
|
808 |
-
macro avg 0.83 0.82 0.82 14146
|
809 |
-
weighted avg 0.83 0.82 0.82 14146
|
810 |
-
|
|
811 |
-
| 0.151 | 2.1 | 1752 | 0.2623 | 0.8066 | 0.7949 | 0.8186 | 0.8066 | precision recall f1-score support
|
812 |
-
|
813 |
-
LOC 0.82 0.85 0.84 4834
|
814 |
-
ORG 0.75 0.71 0.73 4677
|
815 |
-
PER 0.89 0.89 0.89 4635
|
816 |
-
|
817 |
-
micro avg 0.82 0.82 0.82 14146
|
818 |
-
macro avg 0.82 0.82 0.82 14146
|
819 |
-
weighted avg 0.82 0.82 0.82 14146
|
820 |
-
|
|
821 |
-
| 0.1646 | 2.13 | 1776 | 0.2632 | 0.8186 | 0.8137 | 0.8236 | 0.8186 | precision recall f1-score support
|
822 |
-
|
823 |
-
LOC 0.86 0.83 0.84 4834
|
824 |
-
ORG 0.76 0.74 0.75 4677
|
825 |
-
PER 0.89 0.89 0.89 4635
|
826 |
-
|
827 |
-
micro avg 0.84 0.82 0.83 14146
|
828 |
-
macro avg 0.84 0.82 0.83 14146
|
829 |
-
weighted avg 0.84 0.82 0.83 14146
|
830 |
-
|
|
831 |
-
| 0.1659 | 2.16 | 1800 | 0.2561 | 0.8188 | 0.8096 | 0.8281 | 0.8188 | precision recall f1-score support
|
832 |
-
|
833 |
-
LOC 0.83 0.86 0.84 4834
|
834 |
-
ORG 0.76 0.74 0.75 4677
|
835 |
-
PER 0.90 0.89 0.89 4635
|
836 |
-
|
837 |
-
micro avg 0.83 0.83 0.83 14146
|
838 |
-
macro avg 0.83 0.83 0.83 14146
|
839 |
-
weighted avg 0.83 0.83 0.83 14146
|
840 |
-
|
|
841 |
-
| 0.1888 | 2.19 | 1824 | 0.2549 | 0.8136 | 0.8038 | 0.8237 | 0.8136 | precision recall f1-score support
|
842 |
-
|
843 |
-
LOC 0.86 0.83 0.84 4834
|
844 |
-
ORG 0.75 0.74 0.75 4677
|
845 |
-
PER 0.87 0.89 0.88 4635
|
846 |
-
|
847 |
-
micro avg 0.83 0.82 0.83 14146
|
848 |
-
macro avg 0.83 0.82 0.82 14146
|
849 |
-
weighted avg 0.83 0.82 0.82 14146
|
850 |
-
|
|
851 |
-
| 0.2084 | 2.22 | 1848 | 0.2557 | 0.8141 | 0.8087 | 0.8197 | 0.8141 | precision recall f1-score support
|
852 |
-
|
853 |
-
LOC 0.82 0.85 0.84 4834
|
854 |
-
ORG 0.78 0.71 0.74 4677
|
855 |
-
PER 0.90 0.88 0.89 4635
|
856 |
-
|
857 |
-
micro avg 0.83 0.82 0.83 14146
|
858 |
-
macro avg 0.83 0.82 0.82 14146
|
859 |
-
weighted avg 0.83 0.82 0.82 14146
|
860 |
-
|
|
861 |
-
| 0.1571 | 2.24 | 1872 | 0.2697 | 0.8150 | 0.8053 | 0.8249 | 0.8150 | precision recall f1-score support
|
862 |
-
|
863 |
-
LOC 0.83 0.85 0.84 4834
|
864 |
-
ORG 0.74 0.76 0.75 4677
|
865 |
-
PER 0.92 0.86 0.89 4635
|
866 |
-
|
867 |
-
micro avg 0.83 0.82 0.82 14146
|
868 |
-
macro avg 0.83 0.82 0.83 14146
|
869 |
-
weighted avg 0.83 0.82 0.83 14146
|
870 |
-
|
|
871 |
-
| 0.1541 | 2.27 | 1896 | 0.2605 | 0.8191 | 0.8121 | 0.8262 | 0.8191 | precision recall f1-score support
|
872 |
-
|
873 |
-
LOC 0.84 0.86 0.85 4834
|
874 |
-
ORG 0.77 0.72 0.74 4677
|
875 |
-
PER 0.89 0.90 0.89 4635
|
876 |
-
|
877 |
-
micro avg 0.83 0.82 0.83 14146
|
878 |
-
macro avg 0.83 0.82 0.83 14146
|
879 |
-
weighted avg 0.83 0.82 0.83 14146
|
880 |
-
|
|
881 |
-
| 0.1586 | 2.3 | 1920 | 0.2742 | 0.8109 | 0.8073 | 0.8144 | 0.8109 | precision recall f1-score support
|
882 |
-
|
883 |
-
LOC 0.83 0.84 0.84 4834
|
884 |
-
ORG 0.76 0.73 0.74 4677
|
885 |
-
PER 0.91 0.86 0.89 4635
|
886 |
-
|
887 |
-
micro avg 0.83 0.81 0.82 14146
|
888 |
-
macro avg 0.83 0.81 0.82 14146
|
889 |
-
weighted avg 0.83 0.81 0.82 14146
|
890 |
-
|
|
891 |
-
| 0.1641 | 2.33 | 1944 | 0.2679 | 0.8148 | 0.8104 | 0.8193 | 0.8148 | precision recall f1-score support
|
892 |
-
|
893 |
-
LOC 0.84 0.85 0.84 4834
|
894 |
-
ORG 0.76 0.72 0.74 4677
|
895 |
-
PER 0.89 0.89 0.89 4635
|
896 |
-
|
897 |
-
micro avg 0.83 0.82 0.82 14146
|
898 |
-
macro avg 0.83 0.82 0.82 14146
|
899 |
-
weighted avg 0.83 0.82 0.82 14146
|
900 |
-
|
|
901 |
-
| 0.1914 | 2.36 | 1968 | 0.2596 | 0.8159 | 0.8056 | 0.8265 | 0.8159 | precision recall f1-score support
|
902 |
-
|
903 |
-
LOC 0.84 0.86 0.85 4834
|
904 |
-
ORG 0.76 0.72 0.74 4677
|
905 |
-
PER 0.88 0.89 0.89 4635
|
906 |
-
|
907 |
-
micro avg 0.83 0.82 0.83 14146
|
908 |
-
macro avg 0.83 0.82 0.83 14146
|
909 |
-
weighted avg 0.83 0.82 0.83 14146
|
910 |
-
|
|
911 |
-
| 0.1441 | 2.39 | 1992 | 0.2644 | 0.8183 | 0.8139 | 0.8226 | 0.8183 | precision recall f1-score support
|
912 |
-
|
913 |
-
LOC 0.85 0.84 0.85 4834
|
914 |
-
ORG 0.77 0.73 0.75 4677
|
915 |
-
PER 0.89 0.88 0.89 4635
|
916 |
-
|
917 |
-
micro avg 0.84 0.82 0.83 14146
|
918 |
-
macro avg 0.84 0.82 0.83 14146
|
919 |
-
weighted avg 0.84 0.82 0.83 14146
|
920 |
-
|
|
921 |
-
| 0.1672 | 2.42 | 2016 | 0.2652 | 0.8180 | 0.8081 | 0.8281 | 0.8180 | precision recall f1-score support
|
922 |
-
|
923 |
-
LOC 0.84 0.84 0.84 4834
|
924 |
-
ORG 0.77 0.75 0.76 4677
|
925 |
-
PER 0.89 0.89 0.89 4635
|
926 |
-
|
927 |
-
micro avg 0.83 0.83 0.83 14146
|
928 |
-
macro avg 0.83 0.83 0.83 14146
|
929 |
-
weighted avg 0.83 0.83 0.83 14146
|
930 |
-
|
|
931 |
-
| 0.1852 | 2.45 | 2040 | 0.2576 | 0.8205 | 0.8101 | 0.8313 | 0.8205 | precision recall f1-score support
|
932 |
-
|
933 |
-
LOC 0.83 0.87 0.85 4834
|
934 |
-
ORG 0.77 0.73 0.75 4677
|
935 |
-
PER 0.89 0.89 0.89 4635
|
936 |
-
|
937 |
-
micro avg 0.83 0.83 0.83 14146
|
938 |
-
macro avg 0.83 0.83 0.83 14146
|
939 |
-
weighted avg 0.83 0.83 0.83 14146
|
940 |
-
|
|
941 |
-
| 0.192 | 2.47 | 2064 | 0.2459 | 0.8179 | 0.8063 | 0.8298 | 0.8179 | precision recall f1-score support
|
942 |
-
|
943 |
-
LOC 0.83 0.85 0.84 4834
|
944 |
-
ORG 0.77 0.74 0.75 4677
|
945 |
-
PER 0.89 0.89 0.89 4635
|
946 |
-
|
947 |
-
micro avg 0.83 0.83 0.83 14146
|
948 |
-
macro avg 0.83 0.83 0.83 14146
|
949 |
-
weighted avg 0.83 0.83 0.83 14146
|
950 |
-
|
|
951 |
-
| 0.1698 | 2.5 | 2088 | 0.2482 | 0.8213 | 0.8149 | 0.8277 | 0.8213 | precision recall f1-score support
|
952 |
-
|
953 |
-
LOC 0.83 0.86 0.85 4834
|
954 |
-
ORG 0.79 0.72 0.75 4677
|
955 |
-
PER 0.89 0.89 0.89 4635
|
956 |
-
|
957 |
-
micro avg 0.84 0.83 0.83 14146
|
958 |
-
macro avg 0.84 0.83 0.83 14146
|
959 |
-
weighted avg 0.84 0.83 0.83 14146
|
960 |
-
|
|
961 |
-
| 0.1802 | 2.53 | 2112 | 0.2519 | 0.8155 | 0.8066 | 0.8247 | 0.8155 | precision recall f1-score support
|
962 |
-
|
963 |
-
LOC 0.83 0.87 0.85 4834
|
964 |
-
ORG 0.79 0.70 0.74 4677
|
965 |
-
PER 0.88 0.90 0.89 4635
|
966 |
-
|
967 |
-
micro avg 0.83 0.82 0.83 14146
|
968 |
-
macro avg 0.83 0.82 0.83 14146
|
969 |
-
weighted avg 0.83 0.82 0.83 14146
|
970 |
-
|
|
971 |
-
| 0.1619 | 2.56 | 2136 | 0.2582 | 0.8175 | 0.8036 | 0.8319 | 0.8175 | precision recall f1-score support
|
972 |
-
|
973 |
-
LOC 0.84 0.85 0.84 4834
|
974 |
-
ORG 0.75 0.75 0.75 4677
|
975 |
-
PER 0.89 0.89 0.89 4635
|
976 |
-
|
977 |
-
micro avg 0.83 0.83 0.83 14146
|
978 |
-
macro avg 0.83 0.83 0.83 14146
|
979 |
-
weighted avg 0.83 0.83 0.83 14146
|
980 |
-
|
|
981 |
-
| 0.1974 | 2.59 | 2160 | 0.2535 | 0.8184 | 0.8108 | 0.8261 | 0.8184 | precision recall f1-score support
|
982 |
-
|
983 |
-
LOC 0.83 0.86 0.85 4834
|
984 |
-
ORG 0.78 0.71 0.75 4677
|
985 |
-
PER 0.88 0.90 0.89 4635
|
986 |
-
|
987 |
-
micro avg 0.84 0.82 0.83 14146
|
988 |
-
macro avg 0.83 0.82 0.83 14146
|
989 |
-
weighted avg 0.83 0.82 0.83 14146
|
990 |
-
|
|
991 |
-
| 0.1655 | 2.62 | 2184 | 0.2514 | 0.8229 | 0.8165 | 0.8295 | 0.8229 | precision recall f1-score support
|
992 |
-
|
993 |
-
LOC 0.85 0.84 0.85 4834
|
994 |
-
ORG 0.77 0.74 0.76 4677
|
995 |
-
PER 0.89 0.89 0.89 4635
|
996 |
-
|
997 |
-
micro avg 0.84 0.83 0.83 14146
|
998 |
-
macro avg 0.84 0.83 0.83 14146
|
999 |
-
weighted avg 0.84 0.83 0.83 14146
|
1000 |
-
|
|
1001 |
-
| 0.1844 | 2.65 | 2208 | 0.2536 | 0.8208 | 0.8152 | 0.8264 | 0.8208 | precision recall f1-score support
|
1002 |
-
|
1003 |
-
LOC 0.85 0.85 0.85 4834
|
1004 |
-
ORG 0.77 0.73 0.75 4677
|
1005 |
-
PER 0.89 0.89 0.89 4635
|
1006 |
-
|
1007 |
-
micro avg 0.84 0.82 0.83 14146
|
1008 |
-
macro avg 0.84 0.82 0.83 14146
|
1009 |
-
weighted avg 0.84 0.82 0.83 14146
|
1010 |
-
|
|
1011 |
-
| 0.1601 | 2.68 | 2232 | 0.2531 | 0.8194 | 0.8104 | 0.8286 | 0.8194 | precision recall f1-score support
|
1012 |
-
|
1013 |
-
LOC 0.85 0.85 0.85 4834
|
1014 |
-
ORG 0.76 0.73 0.75 4677
|
1015 |
-
PER 0.89 0.89 0.89 4635
|
1016 |
-
|
1017 |
-
micro avg 0.84 0.83 0.83 14146
|
1018 |
-
macro avg 0.84 0.83 0.83 14146
|
1019 |
-
weighted avg 0.84 0.83 0.83 14146
|
1020 |
-
|
|
1021 |
-
| 0.161 | 2.71 | 2256 | 0.2508 | 0.8226 | 0.8145 | 0.8310 | 0.8226 | precision recall f1-score support
|
1022 |
-
|
1023 |
-
LOC 0.85 0.86 0.85 4834
|
1024 |
-
ORG 0.78 0.73 0.75 4677
|
1025 |
-
PER 0.88 0.89 0.89 4635
|
1026 |
-
|
1027 |
-
micro avg 0.84 0.83 0.83 14146
|
1028 |
-
macro avg 0.84 0.83 0.83 14146
|
1029 |
-
weighted avg 0.84 0.83 0.83 14146
|
1030 |
-
|
|
1031 |
-
| 0.1672 | 2.73 | 2280 | 0.2527 | 0.8216 | 0.8137 | 0.8296 | 0.8216 | precision recall f1-score support
|
1032 |
-
|
1033 |
-
LOC 0.85 0.84 0.85 4834
|
1034 |
-
ORG 0.77 0.74 0.76 4677
|
1035 |
-
PER 0.88 0.89 0.89 4635
|
1036 |
-
|
1037 |
-
micro avg 0.84 0.83 0.83 14146
|
1038 |
-
macro avg 0.84 0.83 0.83 14146
|
1039 |
-
weighted avg 0.84 0.83 0.83 14146
|
1040 |
-
|
|
1041 |
-
| 0.2053 | 2.76 | 2304 | 0.2482 | 0.8208 | 0.8112 | 0.8306 | 0.8208 | precision recall f1-score support
|
1042 |
-
|
1043 |
-
LOC 0.85 0.86 0.85 4834
|
1044 |
-
ORG 0.78 0.73 0.75 4677
|
1045 |
-
PER 0.89 0.90 0.89 4635
|
1046 |
-
|
1047 |
-
micro avg 0.84 0.83 0.83 14146
|
1048 |
-
macro avg 0.84 0.83 0.83 14146
|
1049 |
-
weighted avg 0.84 0.83 0.83 14146
|
1050 |
-
|
|
1051 |
-
| 0.1776 | 2.79 | 2328 | 0.2486 | 0.8215 | 0.8143 | 0.8288 | 0.8215 | precision recall f1-score support
|
1052 |
-
|
1053 |
-
LOC 0.85 0.86 0.85 4834
|
1054 |
-
ORG 0.78 0.73 0.75 4677
|
1055 |
-
PER 0.89 0.90 0.89 4635
|
1056 |
-
|
1057 |
-
micro avg 0.84 0.83 0.83 14146
|
1058 |
-
macro avg 0.84 0.83 0.83 14146
|
1059 |
-
weighted avg 0.84 0.83 0.83 14146
|
1060 |
-
|
|
1061 |
-
| 0.1559 | 2.82 | 2352 | 0.2495 | 0.8233 | 0.8156 | 0.8312 | 0.8233 | precision recall f1-score support
|
1062 |
-
|
1063 |
-
LOC 0.84 0.86 0.85 4834
|
1064 |
-
ORG 0.78 0.73 0.76 4677
|
1065 |
-
PER 0.89 0.89 0.89 4635
|
1066 |
-
|
1067 |
-
micro avg 0.84 0.83 0.83 14146
|
1068 |
-
macro avg 0.84 0.83 0.83 14146
|
1069 |
-
weighted avg 0.84 0.83 0.83 14146
|
1070 |
-
|
|
1071 |
-
| 0.1509 | 2.85 | 2376 | 0.2472 | 0.8231 | 0.8142 | 0.8322 | 0.8231 | precision recall f1-score support
|
1072 |
-
|
1073 |
-
LOC 0.84 0.86 0.85 4834
|
1074 |
-
ORG 0.78 0.73 0.76 4677
|
1075 |
-
PER 0.89 0.89 0.89 4635
|
1076 |
-
|
1077 |
-
micro avg 0.84 0.83 0.83 14146
|
1078 |
-
macro avg 0.84 0.83 0.83 14146
|
1079 |
-
weighted avg 0.84 0.83 0.83 14146
|
1080 |
-
|
|
1081 |
-
| 0.1695 | 2.88 | 2400 | 0.2465 | 0.8229 | 0.8134 | 0.8326 | 0.8229 | precision recall f1-score support
|
1082 |
-
|
1083 |
-
LOC 0.85 0.86 0.85 4834
|
1084 |
-
ORG 0.78 0.73 0.75 4677
|
1085 |
-
PER 0.88 0.90 0.89 4635
|
1086 |
-
|
1087 |
-
micro avg 0.84 0.83 0.83 14146
|
1088 |
-
macro avg 0.84 0.83 0.83 14146
|
1089 |
-
weighted avg 0.84 0.83 0.83 14146
|
1090 |
-
|
|
1091 |
-
| 0.1523 | 2.91 | 2424 | 0.2466 | 0.8234 | 0.8154 | 0.8315 | 0.8234 | precision recall f1-score support
|
1092 |
-
|
1093 |
-
LOC 0.85 0.86 0.85 4834
|
1094 |
-
ORG 0.78 0.73 0.75 4677
|
1095 |
-
PER 0.88 0.90 0.89 4635
|
1096 |
-
|
1097 |
-
micro avg 0.84 0.83 0.83 14146
|
1098 |
-
macro avg 0.84 0.83 0.83 14146
|
1099 |
-
weighted avg 0.84 0.83 0.83 14146
|
1100 |
-
|
|
1101 |
-
| 0.1525 | 2.94 | 2448 | 0.2478 | 0.8241 | 0.8165 | 0.8319 | 0.8241 | precision recall f1-score support
|
1102 |
-
|
1103 |
-
LOC 0.85 0.86 0.85 4834
|
1104 |
-
ORG 0.78 0.74 0.76 4677
|
1105 |
-
PER 0.88 0.90 0.89 4635
|
1106 |
-
|
1107 |
-
micro avg 0.84 0.83 0.83 14146
|
1108 |
-
macro avg 0.84 0.83 0.83 14146
|
1109 |
-
weighted avg 0.84 0.83 0.83 14146
|
1110 |
-
|
|
1111 |
-
| 0.1386 | 2.96 | 2472 | 0.2486 | 0.8236 | 0.8164 | 0.8309 | 0.8236 | precision recall f1-score support
|
1112 |
-
|
1113 |
-
LOC 0.85 0.85 0.85 4834
|
1114 |
-
ORG 0.78 0.74 0.76 4677
|
1115 |
-
PER 0.89 0.89 0.89 4635
|
1116 |
-
|
1117 |
-
micro avg 0.84 0.83 0.83 14146
|
1118 |
-
macro avg 0.84 0.83 0.83 14146
|
1119 |
-
weighted avg 0.84 0.83 0.83 14146
|
1120 |
-
|
|
1121 |
-
| 0.1532 | 2.99 | 2496 | 0.2487 | 0.8237 | 0.8163 | 0.8311 | 0.8237 | precision recall f1-score support
|
1122 |
-
|
1123 |
-
LOC 0.85 0.85 0.85 4834
|
1124 |
-
ORG 0.78 0.74 0.76 4677
|
1125 |
-
PER 0.89 0.89 0.89 4635
|
1126 |
-
|
1127 |
-
micro avg 0.84 0.83 0.83 14146
|
1128 |
-
macro avg 0.84 0.83 0.83 14146
|
1129 |
-
weighted avg 0.84 0.83 0.83 14146
|
1130 |
-
|
|
1131 |
|
1132 |
|
1133 |
### Framework versions
|
1134 |
|
1135 |
-
- Transformers 4.
|
1136 |
-
- Pytorch 2.0.
|
1137 |
-
- Datasets 2.
|
1138 |
- Tokenizers 0.13.3
|
|
|
48 |
- Precision: 0.8163
|
49 |
- Recall: 0.8311
|
50 |
- Accuracy: 0.8237
|
|
|
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51 |
|
52 |
## Model description
|
53 |
|
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|
76 |
|
77 |
### Training results
|
78 |
|
79 |
+
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy |
|
80 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
|
81 |
+
| 1.2644 | 0.03 | 24 | 0.8175 | 0.4212 | 0.3696 | 0.4897 | 0.4212 |
|
82 |
+
| 0.7209 | 0.06 | 48 | 0.5633 | 0.4817 | 0.4190 | 0.5665 | 0.4817 |
|
83 |
+
| 0.5951 | 0.09 | 72 | 0.4670 | 0.6059 | 0.5588 | 0.6617 | 0.6059 |
|
84 |
+
| 0.4475 | 0.12 | 96 | 0.4425 | 0.6659 | 0.6336 | 0.7016 | 0.6659 |
|
85 |
+
| 0.4978 | 0.14 | 120 | 0.4469 | 0.6375 | 0.5930 | 0.6892 | 0.6375 |
|
86 |
+
| 0.4383 | 0.17 | 144 | 0.4093 | 0.7003 | 0.6668 | 0.7374 | 0.7003 |
|
87 |
+
| 0.4148 | 0.2 | 168 | 0.3688 | 0.7122 | 0.6877 | 0.7387 | 0.7122 |
|
88 |
+
| 0.4513 | 0.23 | 192 | 0.3700 | 0.7236 | 0.7081 | 0.7397 | 0.7236 |
|
89 |
+
| 0.3786 | 0.26 | 216 | 0.3666 | 0.7304 | 0.7125 | 0.7493 | 0.7304 |
|
90 |
+
| 0.425 | 0.29 | 240 | 0.3652 | 0.7046 | 0.6874 | 0.7227 | 0.7046 |
|
91 |
+
| 0.4014 | 0.32 | 264 | 0.3438 | 0.7246 | 0.6964 | 0.7552 | 0.7246 |
|
92 |
+
| 0.3789 | 0.35 | 288 | 0.3533 | 0.7208 | 0.6922 | 0.7519 | 0.7208 |
|
93 |
+
| 0.4032 | 0.37 | 312 | 0.3567 | 0.7252 | 0.7125 | 0.7383 | 0.7252 |
|
94 |
+
| 0.371 | 0.4 | 336 | 0.3282 | 0.7433 | 0.7255 | 0.7620 | 0.7433 |
|
95 |
+
| 0.3397 | 0.43 | 360 | 0.3304 | 0.7522 | 0.7312 | 0.7745 | 0.7522 |
|
96 |
+
| 0.3871 | 0.46 | 384 | 0.3244 | 0.7427 | 0.7160 | 0.7715 | 0.7427 |
|
97 |
+
| 0.3461 | 0.49 | 408 | 0.3284 | 0.7520 | 0.7298 | 0.7756 | 0.7520 |
|
98 |
+
| 0.3504 | 0.52 | 432 | 0.3049 | 0.7574 | 0.7418 | 0.7737 | 0.7574 |
|
99 |
+
| 0.3387 | 0.55 | 456 | 0.3178 | 0.7717 | 0.7537 | 0.7906 | 0.7717 |
|
100 |
+
| 0.3259 | 0.58 | 480 | 0.3026 | 0.7738 | 0.7636 | 0.7843 | 0.7738 |
|
101 |
+
| 0.3473 | 0.6 | 504 | 0.3254 | 0.7324 | 0.7090 | 0.7574 | 0.7324 |
|
102 |
+
| 0.2893 | 0.63 | 528 | 0.3102 | 0.7689 | 0.7571 | 0.7810 | 0.7689 |
|
103 |
+
| 0.3669 | 0.66 | 552 | 0.3119 | 0.7631 | 0.7528 | 0.7737 | 0.7631 |
|
104 |
+
| 0.312 | 0.69 | 576 | 0.2963 | 0.7818 | 0.7734 | 0.7905 | 0.7818 |
|
105 |
+
| 0.297 | 0.72 | 600 | 0.3217 | 0.7542 | 0.7332 | 0.7765 | 0.7542 |
|
106 |
+
| 0.3095 | 0.75 | 624 | 0.3038 | 0.7732 | 0.7580 | 0.7891 | 0.7732 |
|
107 |
+
| 0.3514 | 0.78 | 648 | 0.2913 | 0.7794 | 0.7669 | 0.7924 | 0.7794 |
|
108 |
+
| 0.2824 | 0.81 | 672 | 0.3008 | 0.7813 | 0.7752 | 0.7876 | 0.7813 |
|
109 |
+
| 0.3203 | 0.83 | 696 | 0.2915 | 0.7807 | 0.7641 | 0.7980 | 0.7807 |
|
110 |
+
| 0.3089 | 0.86 | 720 | 0.2941 | 0.7838 | 0.7755 | 0.7923 | 0.7838 |
|
111 |
+
| 0.3174 | 0.89 | 744 | 0.2986 | 0.7770 | 0.7609 | 0.7937 | 0.7770 |
|
112 |
+
| 0.3264 | 0.92 | 768 | 0.2783 | 0.7788 | 0.7630 | 0.7951 | 0.7788 |
|
113 |
+
| 0.2815 | 0.95 | 792 | 0.2861 | 0.7848 | 0.7704 | 0.7998 | 0.7848 |
|
114 |
+
| 0.2895 | 0.98 | 816 | 0.2799 | 0.7842 | 0.7702 | 0.7988 | 0.7842 |
|
115 |
+
| 0.3023 | 1.01 | 840 | 0.2818 | 0.7876 | 0.7722 | 0.8038 | 0.7876 |
|
116 |
+
| 0.2358 | 1.04 | 864 | 0.2924 | 0.7836 | 0.7750 | 0.7925 | 0.7836 |
|
117 |
+
| 0.2819 | 1.06 | 888 | 0.2861 | 0.7761 | 0.7696 | 0.7828 | 0.7761 |
|
118 |
+
| 0.2692 | 1.09 | 912 | 0.2924 | 0.7756 | 0.7680 | 0.7833 | 0.7756 |
|
119 |
+
| 0.2478 | 1.12 | 936 | 0.2963 | 0.7833 | 0.7599 | 0.8082 | 0.7833 |
|
120 |
+
| 0.2557 | 1.15 | 960 | 0.2960 | 0.7783 | 0.7814 | 0.7751 | 0.7783 |
|
121 |
+
| 0.3003 | 1.18 | 984 | 0.2656 | 0.7862 | 0.7727 | 0.8002 | 0.7862 |
|
122 |
+
| 0.2254 | 1.21 | 1008 | 0.2791 | 0.8007 | 0.7890 | 0.8129 | 0.8007 |
|
123 |
+
| 0.2496 | 1.24 | 1032 | 0.2702 | 0.7877 | 0.7701 | 0.8062 | 0.7877 |
|
124 |
+
| 0.2124 | 1.27 | 1056 | 0.2888 | 0.7952 | 0.7895 | 0.8011 | 0.7952 |
|
125 |
+
| 0.2841 | 1.29 | 1080 | 0.2761 | 0.7946 | 0.7870 | 0.8023 | 0.7946 |
|
126 |
+
| 0.2517 | 1.32 | 1104 | 0.2659 | 0.8026 | 0.7909 | 0.8146 | 0.8026 |
|
127 |
+
| 0.2355 | 1.35 | 1128 | 0.2681 | 0.8003 | 0.7876 | 0.8134 | 0.8003 |
|
128 |
+
| 0.2402 | 1.38 | 1152 | 0.2701 | 0.7991 | 0.7892 | 0.8093 | 0.7991 |
|
129 |
+
| 0.2296 | 1.41 | 1176 | 0.2753 | 0.7946 | 0.7819 | 0.8077 | 0.7946 |
|
130 |
+
| 0.2453 | 1.44 | 1200 | 0.2696 | 0.8029 | 0.7912 | 0.8149 | 0.8029 |
|
131 |
+
| 0.2689 | 1.47 | 1224 | 0.2700 | 0.7936 | 0.7819 | 0.8056 | 0.7936 |
|
132 |
+
| 0.2362 | 1.5 | 1248 | 0.2705 | 0.8028 | 0.8005 | 0.8051 | 0.8028 |
|
133 |
+
| 0.226 | 1.53 | 1272 | 0.2642 | 0.8042 | 0.7910 | 0.8180 | 0.8042 |
|
134 |
+
| 0.2139 | 1.55 | 1296 | 0.2690 | 0.8013 | 0.7942 | 0.8084 | 0.8013 |
|
135 |
+
| 0.2744 | 1.58 | 1320 | 0.2619 | 0.7999 | 0.7841 | 0.8163 | 0.7999 |
|
136 |
+
| 0.2015 | 1.61 | 1344 | 0.2640 | 0.8066 | 0.8035 | 0.8098 | 0.8066 |
|
137 |
+
| 0.1949 | 1.64 | 1368 | 0.2750 | 0.8075 | 0.8023 | 0.8129 | 0.8075 |
|
138 |
+
| 0.2259 | 1.67 | 1392 | 0.2669 | 0.8092 | 0.7997 | 0.8189 | 0.8092 |
|
139 |
+
| 0.1884 | 1.7 | 1416 | 0.2729 | 0.8061 | 0.7990 | 0.8133 | 0.8061 |
|
140 |
+
| 0.1868 | 1.73 | 1440 | 0.2679 | 0.8083 | 0.8007 | 0.8161 | 0.8083 |
|
141 |
+
| 0.2292 | 1.76 | 1464 | 0.2658 | 0.8055 | 0.7954 | 0.8158 | 0.8055 |
|
142 |
+
| 0.22 | 1.78 | 1488 | 0.2610 | 0.8066 | 0.8006 | 0.8126 | 0.8066 |
|
143 |
+
| 0.2335 | 1.81 | 1512 | 0.2613 | 0.7997 | 0.7816 | 0.8185 | 0.7997 |
|
144 |
+
| 0.2379 | 1.84 | 1536 | 0.2495 | 0.8081 | 0.7975 | 0.8190 | 0.8081 |
|
145 |
+
| 0.2394 | 1.87 | 1560 | 0.2619 | 0.8063 | 0.7951 | 0.8177 | 0.8063 |
|
146 |
+
| 0.2526 | 1.9 | 1584 | 0.2502 | 0.8116 | 0.8032 | 0.8202 | 0.8116 |
|
147 |
+
| 0.2167 | 1.93 | 1608 | 0.2528 | 0.8134 | 0.8000 | 0.8273 | 0.8134 |
|
148 |
+
| 0.2354 | 1.96 | 1632 | 0.2449 | 0.8099 | 0.8013 | 0.8188 | 0.8099 |
|
149 |
+
| 0.2808 | 1.99 | 1656 | 0.2469 | 0.8067 | 0.7938 | 0.8201 | 0.8067 |
|
150 |
+
| 0.1924 | 2.01 | 1680 | 0.2487 | 0.8077 | 0.7930 | 0.8229 | 0.8077 |
|
151 |
+
| 0.1498 | 2.04 | 1704 | 0.2619 | 0.8127 | 0.8015 | 0.8242 | 0.8127 |
|
152 |
+
| 0.2 | 2.07 | 1728 | 0.2590 | 0.8133 | 0.8044 | 0.8224 | 0.8133 |
|
153 |
+
| 0.151 | 2.1 | 1752 | 0.2623 | 0.8066 | 0.7949 | 0.8186 | 0.8066 |
|
154 |
+
| 0.1646 | 2.13 | 1776 | 0.2632 | 0.8186 | 0.8137 | 0.8236 | 0.8186 |
|
155 |
+
| 0.1659 | 2.16 | 1800 | 0.2561 | 0.8188 | 0.8096 | 0.8281 | 0.8188 |
|
156 |
+
| 0.1888 | 2.19 | 1824 | 0.2549 | 0.8136 | 0.8038 | 0.8237 | 0.8136 |
|
157 |
+
| 0.2084 | 2.22 | 1848 | 0.2557 | 0.8141 | 0.8087 | 0.8197 | 0.8141 |
|
158 |
+
| 0.1571 | 2.24 | 1872 | 0.2697 | 0.8150 | 0.8053 | 0.8249 | 0.8150 |
|
159 |
+
| 0.1541 | 2.27 | 1896 | 0.2605 | 0.8191 | 0.8121 | 0.8262 | 0.8191 |
|
160 |
+
| 0.1586 | 2.3 | 1920 | 0.2742 | 0.8109 | 0.8073 | 0.8144 | 0.8109 |
|
161 |
+
| 0.1641 | 2.33 | 1944 | 0.2679 | 0.8148 | 0.8104 | 0.8193 | 0.8148 |
|
162 |
+
| 0.1914 | 2.36 | 1968 | 0.2596 | 0.8159 | 0.8056 | 0.8265 | 0.8159 |
|
163 |
+
| 0.1441 | 2.39 | 1992 | 0.2644 | 0.8183 | 0.8139 | 0.8226 | 0.8183 |
|
164 |
+
| 0.1672 | 2.42 | 2016 | 0.2652 | 0.8180 | 0.8081 | 0.8281 | 0.8180 |
|
165 |
+
| 0.1852 | 2.45 | 2040 | 0.2576 | 0.8205 | 0.8101 | 0.8313 | 0.8205 |
|
166 |
+
| 0.192 | 2.47 | 2064 | 0.2459 | 0.8179 | 0.8063 | 0.8298 | 0.8179 |
|
167 |
+
| 0.1698 | 2.5 | 2088 | 0.2482 | 0.8213 | 0.8149 | 0.8277 | 0.8213 |
|
168 |
+
| 0.1802 | 2.53 | 2112 | 0.2519 | 0.8155 | 0.8066 | 0.8247 | 0.8155 |
|
169 |
+
| 0.1619 | 2.56 | 2136 | 0.2582 | 0.8175 | 0.8036 | 0.8319 | 0.8175 |
|
170 |
+
| 0.1974 | 2.59 | 2160 | 0.2535 | 0.8184 | 0.8108 | 0.8261 | 0.8184 |
|
171 |
+
| 0.1655 | 2.62 | 2184 | 0.2514 | 0.8229 | 0.8165 | 0.8295 | 0.8229 |
|
172 |
+
| 0.1844 | 2.65 | 2208 | 0.2536 | 0.8208 | 0.8152 | 0.8264 | 0.8208 |
|
173 |
+
| 0.1601 | 2.68 | 2232 | 0.2531 | 0.8194 | 0.8104 | 0.8286 | 0.8194 |
|
174 |
+
| 0.161 | 2.71 | 2256 | 0.2508 | 0.8226 | 0.8145 | 0.8310 | 0.8226 |
|
175 |
+
| 0.1672 | 2.73 | 2280 | 0.2527 | 0.8216 | 0.8137 | 0.8296 | 0.8216 |
|
176 |
+
| 0.2053 | 2.76 | 2304 | 0.2482 | 0.8208 | 0.8112 | 0.8306 | 0.8208 |
|
177 |
+
| 0.1776 | 2.79 | 2328 | 0.2486 | 0.8215 | 0.8143 | 0.8288 | 0.8215 |
|
178 |
+
| 0.1559 | 2.82 | 2352 | 0.2495 | 0.8233 | 0.8156 | 0.8312 | 0.8233 |
|
179 |
+
| 0.1509 | 2.85 | 2376 | 0.2472 | 0.8231 | 0.8142 | 0.8322 | 0.8231 |
|
180 |
+
| 0.1695 | 2.88 | 2400 | 0.2465 | 0.8229 | 0.8134 | 0.8326 | 0.8229 |
|
181 |
+
| 0.1523 | 2.91 | 2424 | 0.2466 | 0.8234 | 0.8154 | 0.8315 | 0.8234 |
|
182 |
+
| 0.1525 | 2.94 | 2448 | 0.2478 | 0.8241 | 0.8165 | 0.8319 | 0.8241 |
|
183 |
+
| 0.1386 | 2.96 | 2472 | 0.2486 | 0.8236 | 0.8164 | 0.8309 | 0.8236 |
|
184 |
+
| 0.1532 | 2.99 | 2496 | 0.2487 | 0.8237 | 0.8163 | 0.8311 | 0.8237 |
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185 |
|
186 |
|
187 |
### Framework versions
|
188 |
|
189 |
+
- Transformers 4.30.2
|
190 |
+
- Pytorch 2.0.1+cu118
|
191 |
+
- Datasets 2.13.0
|
192 |
- Tokenizers 0.13.3
|