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---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
model-index:
- name: overall_binary
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# overall_binary
This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8529
- Classification Report: {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}}
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 6
- total_train_batch_size: 96
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 200
### Training results
| Training Loss | Epoch | Step | Validation Loss | Classification Report |
|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| No log | 1.0 | 2 | 0.7209 | {'0': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 22.0}, '1': {'precision': 0.5925925925925926, 'recall': 1.0, 'f1-score': 0.7441860465116279, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.2962962962962963, 'recall': 0.5, 'f1-score': 0.37209302325581395, 'support': 54.0}, 'weighted avg': {'precision': 0.3511659807956104, 'recall': 0.5925925925925926, 'f1-score': 0.4409991386735573, 'support': 54.0}} |
| No log | 2.0 | 4 | 0.6979 | {'0': {'precision': 0.37037037037037035, 'recall': 0.45454545454545453, 'f1-score': 0.40816326530612246, 'support': 22.0}, '1': {'precision': 0.5555555555555556, 'recall': 0.46875, 'f1-score': 0.5084745762711864, 'support': 32.0}, 'accuracy': 0.46296296296296297, 'macro avg': {'precision': 0.46296296296296297, 'recall': 0.4616477272727273, 'f1-score': 0.45831892078865444, 'support': 54.0}, 'weighted avg': {'precision': 0.4801097393689986, 'recall': 0.46296296296296297, 'f1-score': 0.4676070051372715, 'support': 54.0}} |
| No log | 3.0 | 6 | 0.6671 | {'0': {'precision': 0.5833333333333334, 'recall': 0.3181818181818182, 'f1-score': 0.4117647058823529, 'support': 22.0}, '1': {'precision': 0.6428571428571429, 'recall': 0.84375, 'f1-score': 0.7297297297297297, 'support': 32.0}, 'accuracy': 0.6296296296296297, 'macro avg': {'precision': 0.6130952380952381, 'recall': 0.5809659090909091, 'f1-score': 0.5707472178060413, 'support': 54.0}, 'weighted avg': {'precision': 0.6186067019400353, 'recall': 0.6296296296296297, 'f1-score': 0.6001884237178354, 'support': 54.0}} |
| No log | 4.0 | 8 | 0.6354 | {'0': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 22.0}, '1': {'precision': 0.5925925925925926, 'recall': 1.0, 'f1-score': 0.7441860465116279, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.2962962962962963, 'recall': 0.5, 'f1-score': 0.37209302325581395, 'support': 54.0}, 'weighted avg': {'precision': 0.3511659807956104, 'recall': 0.5925925925925926, 'f1-score': 0.4409991386735573, 'support': 54.0}} |
| No log | 5.0 | 10 | 0.6677 | {'0': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 22.0}, '1': {'precision': 0.5925925925925926, 'recall': 1.0, 'f1-score': 0.7441860465116279, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.2962962962962963, 'recall': 0.5, 'f1-score': 0.37209302325581395, 'support': 54.0}, 'weighted avg': {'precision': 0.3511659807956104, 'recall': 0.5925925925925926, 'f1-score': 0.4409991386735573, 'support': 54.0}} |
| No log | 6.0 | 12 | 0.6094 | {'0': {'precision': 0.5757575757575758, 'recall': 0.8636363636363636, 'f1-score': 0.6909090909090909, 'support': 22.0}, '1': {'precision': 0.8571428571428571, 'recall': 0.5625, 'f1-score': 0.6792452830188679, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.7164502164502164, 'recall': 0.7130681818181819, 'f1-score': 0.6850771869639793, 'support': 54.0}, 'weighted avg': {'precision': 0.7425044091710759, 'recall': 0.6851851851851852, 'f1-score': 0.6839972047519217, 'support': 54.0}} |
| No log | 7.0 | 14 | 0.5932 | {'0': {'precision': 0.5882352941176471, 'recall': 0.9090909090909091, 'f1-score': 0.7142857142857143, 'support': 22.0}, '1': {'precision': 0.9, 'recall': 0.5625, 'f1-score': 0.6923076923076923, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7441176470588236, 'recall': 0.7357954545454546, 'f1-score': 0.7032967032967032, 'support': 54.0}, 'weighted avg': {'precision': 0.7729847494553377, 'recall': 0.7037037037037037, 'f1-score': 0.7012617012617013, 'support': 54.0}} |
| No log | 8.0 | 16 | 0.5522 | {'0': {'precision': 0.6, 'recall': 0.5454545454545454, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7058823529411765, 'recall': 0.75, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6529411764705882, 'recall': 0.6477272727272727, 'f1-score': 0.6493506493506493, 'support': 54.0}, 'weighted avg': {'precision': 0.6627450980392157, 'recall': 0.6666666666666666, 'f1-score': 0.6637806637806638, 'support': 54.0}} |
| No log | 9.0 | 18 | 0.5464 | {'0': {'precision': 0.59375, 'recall': 0.8636363636363636, 'f1-score': 0.7037037037037037, 'support': 22.0}, '1': {'precision': 0.8636363636363636, 'recall': 0.59375, 'f1-score': 0.7037037037037037, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7286931818181819, 'recall': 0.7286931818181819, 'f1-score': 0.7037037037037037, 'support': 54.0}, 'weighted avg': {'precision': 0.75368265993266, 'recall': 0.7037037037037037, 'f1-score': 0.7037037037037037, 'support': 54.0}} |
| No log | 10.0 | 20 | 0.5100 | {'0': {'precision': 0.6818181818181818, 'recall': 0.6818181818181818, 'f1-score': 0.6818181818181818, 'support': 22.0}, '1': {'precision': 0.78125, 'recall': 0.78125, 'f1-score': 0.78125, 'support': 32.0}, 'accuracy': 0.7407407407407407, 'macro avg': {'precision': 0.7315340909090908, 'recall': 0.7315340909090908, 'f1-score': 0.7315340909090908, 'support': 54.0}, 'weighted avg': {'precision': 0.7407407407407407, 'recall': 0.7407407407407407, 'f1-score': 0.7407407407407407, 'support': 54.0}} |
| No log | 11.0 | 22 | 0.6511 | {'0': {'precision': 0.5526315789473685, 'recall': 0.9545454545454546, 'f1-score': 0.7, 'support': 22.0}, '1': {'precision': 0.9375, 'recall': 0.46875, 'f1-score': 0.625, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.7450657894736843, 'recall': 0.7116477272727273, 'f1-score': 0.6625, 'support': 54.0}, 'weighted avg': {'precision': 0.780701754385965, 'recall': 0.6666666666666666, 'f1-score': 0.6555555555555556, 'support': 54.0}} |
| No log | 12.0 | 24 | 0.5125 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 13.0 | 26 | 0.8356 | {'0': {'precision': 0.4883720930232558, 'recall': 0.9545454545454546, 'f1-score': 0.6461538461538462, 'support': 22.0}, '1': {'precision': 0.9090909090909091, 'recall': 0.3125, 'f1-score': 0.46511627906976744, 'support': 32.0}, 'accuracy': 0.5740740740740741, 'macro avg': {'precision': 0.6987315010570825, 'recall': 0.6335227272727273, 'f1-score': 0.5556350626118068, 'support': 54.0}, 'weighted avg': {'precision': 0.7376869469892725, 'recall': 0.5740740740740741, 'f1-score': 0.5388723249188365, 'support': 54.0}} |
| No log | 14.0 | 28 | 0.5437 | {'0': {'precision': 0.6, 'recall': 0.8181818181818182, 'f1-score': 0.6923076923076923, 'support': 22.0}, '1': {'precision': 0.8333333333333334, 'recall': 0.625, 'f1-score': 0.7142857142857143, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7166666666666667, 'recall': 0.7215909090909092, 'f1-score': 0.7032967032967032, 'support': 54.0}, 'weighted avg': {'precision': 0.7382716049382716, 'recall': 0.7037037037037037, 'f1-score': 0.7053317053317053, 'support': 54.0}} |
| No log | 15.0 | 30 | 1.0100 | {'0': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 22.0}, '1': {'precision': 0.5925925925925926, 'recall': 1.0, 'f1-score': 0.7441860465116279, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.2962962962962963, 'recall': 0.5, 'f1-score': 0.37209302325581395, 'support': 54.0}, 'weighted avg': {'precision': 0.3511659807956104, 'recall': 0.5925925925925926, 'f1-score': 0.4409991386735573, 'support': 54.0}} |
| No log | 16.0 | 32 | 0.5221 | {'0': {'precision': 0.6538461538461539, 'recall': 0.7727272727272727, 'f1-score': 0.7083333333333334, 'support': 22.0}, '1': {'precision': 0.8214285714285714, 'recall': 0.71875, 'f1-score': 0.7666666666666667, 'support': 32.0}, 'accuracy': 0.7407407407407407, 'macro avg': {'precision': 0.7376373626373627, 'recall': 0.7457386363636364, 'f1-score': 0.7375, 'support': 54.0}, 'weighted avg': {'precision': 0.7531542531542532, 'recall': 0.7407407407407407, 'f1-score': 0.7429012345679012, 'support': 54.0}} |
| No log | 17.0 | 34 | 0.9995 | {'0': {'precision': 0.46808510638297873, 'recall': 1.0, 'f1-score': 0.6376811594202898, 'support': 22.0}, '1': {'precision': 1.0, 'recall': 0.21875, 'f1-score': 0.358974358974359, 'support': 32.0}, 'accuracy': 0.5370370370370371, 'macro avg': {'precision': 0.7340425531914894, 'recall': 0.609375, 'f1-score': 0.4983277591973244, 'support': 54.0}, 'weighted avg': {'precision': 0.7832939322301024, 'recall': 0.5370370370370371, 'f1-score': 0.4725215739708493, 'support': 54.0}} |
| No log | 18.0 | 36 | 0.5530 | {'0': {'precision': 0.625, 'recall': 0.6818181818181818, 'f1-score': 0.6521739130434783, 'support': 22.0}, '1': {'precision': 0.7666666666666667, 'recall': 0.71875, 'f1-score': 0.7419354838709677, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6958333333333333, 'recall': 0.7002840909090908, 'f1-score': 0.697054698457223, 'support': 54.0}, 'weighted avg': {'precision': 0.7089506172839506, 'recall': 0.7037037037037037, 'f1-score': 0.705365955015324, 'support': 54.0}} |
| No log | 19.0 | 38 | 0.9546 | {'0': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 22.0}, '1': {'precision': 0.5925925925925926, 'recall': 1.0, 'f1-score': 0.7441860465116279, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.2962962962962963, 'recall': 0.5, 'f1-score': 0.37209302325581395, 'support': 54.0}, 'weighted avg': {'precision': 0.3511659807956104, 'recall': 0.5925925925925926, 'f1-score': 0.4409991386735573, 'support': 54.0}} |
| No log | 20.0 | 40 | 0.6552 | {'0': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 22.0}, '1': {'precision': 0.5925925925925926, 'recall': 1.0, 'f1-score': 0.7441860465116279, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.2962962962962963, 'recall': 0.5, 'f1-score': 0.37209302325581395, 'support': 54.0}, 'weighted avg': {'precision': 0.3511659807956104, 'recall': 0.5925925925925926, 'f1-score': 0.4409991386735573, 'support': 54.0}} |
| No log | 21.0 | 42 | 0.8746 | {'0': {'precision': 0.4230769230769231, 'recall': 1.0, 'f1-score': 0.5945945945945946, 'support': 22.0}, '1': {'precision': 1.0, 'recall': 0.0625, 'f1-score': 0.11764705882352941, 'support': 32.0}, 'accuracy': 0.4444444444444444, 'macro avg': {'precision': 0.7115384615384616, 'recall': 0.53125, 'f1-score': 0.35612082670906203, 'support': 54.0}, 'weighted avg': {'precision': 0.7649572649572649, 'recall': 0.4444444444444444, 'f1-score': 0.3119590178413708, 'support': 54.0}} |
| No log | 22.0 | 44 | 1.0083 | {'0': {'precision': 0.41509433962264153, 'recall': 1.0, 'f1-score': 0.5866666666666667, 'support': 22.0}, '1': {'precision': 1.0, 'recall': 0.03125, 'f1-score': 0.06060606060606061, 'support': 32.0}, 'accuracy': 0.42592592592592593, 'macro avg': {'precision': 0.7075471698113207, 'recall': 0.515625, 'f1-score': 0.3236363636363636, 'support': 54.0}, 'weighted avg': {'precision': 0.7617051013277428, 'recall': 0.42592592592592593, 'f1-score': 0.2749270482603816, 'support': 54.0}} |
| No log | 23.0 | 46 | 0.5660 | {'0': {'precision': 0.6, 'recall': 0.5454545454545454, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7058823529411765, 'recall': 0.75, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6529411764705882, 'recall': 0.6477272727272727, 'f1-score': 0.6493506493506493, 'support': 54.0}, 'weighted avg': {'precision': 0.6627450980392157, 'recall': 0.6666666666666666, 'f1-score': 0.6637806637806638, 'support': 54.0}} |
| No log | 24.0 | 48 | 0.6164 | {'0': {'precision': 1.0, 'recall': 0.09090909090909091, 'f1-score': 0.16666666666666666, 'support': 22.0}, '1': {'precision': 0.6153846153846154, 'recall': 1.0, 'f1-score': 0.7619047619047619, 'support': 32.0}, 'accuracy': 0.6296296296296297, 'macro avg': {'precision': 0.8076923076923077, 'recall': 0.5454545454545454, 'f1-score': 0.46428571428571425, 'support': 54.0}, 'weighted avg': {'precision': 0.7720797720797721, 'recall': 0.6296296296296297, 'f1-score': 0.519400352733686, 'support': 54.0}} |
| No log | 25.0 | 50 | 0.6519 | {'0': {'precision': 0.4883720930232558, 'recall': 0.9545454545454546, 'f1-score': 0.6461538461538462, 'support': 22.0}, '1': {'precision': 0.9090909090909091, 'recall': 0.3125, 'f1-score': 0.46511627906976744, 'support': 32.0}, 'accuracy': 0.5740740740740741, 'macro avg': {'precision': 0.6987315010570825, 'recall': 0.6335227272727273, 'f1-score': 0.5556350626118068, 'support': 54.0}, 'weighted avg': {'precision': 0.7376869469892725, 'recall': 0.5740740740740741, 'f1-score': 0.5388723249188365, 'support': 54.0}} |
| No log | 26.0 | 52 | 0.6560 | {'0': {'precision': 0.5, 'recall': 0.9545454545454546, 'f1-score': 0.65625, 'support': 22.0}, '1': {'precision': 0.9166666666666666, 'recall': 0.34375, 'f1-score': 0.5, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.7083333333333333, 'recall': 0.6491477272727273, 'f1-score': 0.578125, 'support': 54.0}, 'weighted avg': {'precision': 0.7469135802469135, 'recall': 0.5925925925925926, 'f1-score': 0.5636574074074074, 'support': 54.0}} |
| No log | 27.0 | 54 | 0.5364 | {'0': {'precision': 0.6470588235294118, 'recall': 0.5, 'f1-score': 0.5641025641025641, 'support': 22.0}, '1': {'precision': 0.7027027027027027, 'recall': 0.8125, 'f1-score': 0.7536231884057971, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6748807631160573, 'recall': 0.65625, 'f1-score': 0.6588628762541806, 'support': 54.0}, 'weighted avg': {'precision': 0.6800329741506212, 'recall': 0.6851851851851852, 'f1-score': 0.6764110822081837, 'support': 54.0}} |
| No log | 28.0 | 56 | 0.5465 | {'0': {'precision': 0.6129032258064516, 'recall': 0.8636363636363636, 'f1-score': 0.7169811320754716, 'support': 22.0}, '1': {'precision': 0.8695652173913043, 'recall': 0.625, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.741234221598878, 'recall': 0.7443181818181819, 'f1-score': 0.7221269296740995, 'support': 54.0}, 'weighted avg': {'precision': 0.7649992208196976, 'recall': 0.7222222222222222, 'f1-score': 0.7230798551553269, 'support': 54.0}} |
| No log | 29.0 | 58 | 0.5741 | {'0': {'precision': 0.5882352941176471, 'recall': 0.9090909090909091, 'f1-score': 0.7142857142857143, 'support': 22.0}, '1': {'precision': 0.9, 'recall': 0.5625, 'f1-score': 0.6923076923076923, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7441176470588236, 'recall': 0.7357954545454546, 'f1-score': 0.7032967032967032, 'support': 54.0}, 'weighted avg': {'precision': 0.7729847494553377, 'recall': 0.7037037037037037, 'f1-score': 0.7012617012617013, 'support': 54.0}} |
| No log | 30.0 | 60 | 0.5584 | {'0': {'precision': 0.7692307692307693, 'recall': 0.45454545454545453, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7073170731707317, 'recall': 0.90625, 'f1-score': 0.7945205479452054, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7382739212007505, 'recall': 0.6803977272727273, 'f1-score': 0.6829745596868884, 'support': 54.0}, 'weighted avg': {'precision': 0.7325411715655619, 'recall': 0.7222222222222222, 'f1-score': 0.7036312241791693, 'support': 54.0}} |
| No log | 31.0 | 62 | 0.6725 | {'0': {'precision': 0.5121951219512195, 'recall': 0.9545454545454546, 'f1-score': 0.6666666666666666, 'support': 22.0}, '1': {'precision': 0.9230769230769231, 'recall': 0.375, 'f1-score': 0.5333333333333333, 'support': 32.0}, 'accuracy': 0.6111111111111112, 'macro avg': {'precision': 0.7176360225140713, 'recall': 0.6647727272727273, 'f1-score': 0.6, 'support': 54.0}, 'weighted avg': {'precision': 0.7556806337294143, 'recall': 0.6111111111111112, 'f1-score': 0.5876543209876544, 'support': 54.0}} |
| No log | 32.0 | 64 | 0.6997 | {'0': {'precision': 0.5121951219512195, 'recall': 0.9545454545454546, 'f1-score': 0.6666666666666666, 'support': 22.0}, '1': {'precision': 0.9230769230769231, 'recall': 0.375, 'f1-score': 0.5333333333333333, 'support': 32.0}, 'accuracy': 0.6111111111111112, 'macro avg': {'precision': 0.7176360225140713, 'recall': 0.6647727272727273, 'f1-score': 0.6, 'support': 54.0}, 'weighted avg': {'precision': 0.7556806337294143, 'recall': 0.6111111111111112, 'f1-score': 0.5876543209876544, 'support': 54.0}} |
| No log | 33.0 | 66 | 0.5377 | {'0': {'precision': 0.7333333333333333, 'recall': 0.5, 'f1-score': 0.5945945945945946, 'support': 22.0}, '1': {'precision': 0.717948717948718, 'recall': 0.875, 'f1-score': 0.7887323943661971, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7256410256410256, 'recall': 0.6875, 'f1-score': 0.6916634944803959, 'support': 54.0}, 'weighted avg': {'precision': 0.7242165242165242, 'recall': 0.7222222222222222, 'f1-score': 0.7096392166814702, 'support': 54.0}} |
| No log | 34.0 | 68 | 0.5292 | {'0': {'precision': 0.6842105263157895, 'recall': 0.5909090909090909, 'f1-score': 0.6341463414634146, 'support': 22.0}, '1': {'precision': 0.7428571428571429, 'recall': 0.8125, 'f1-score': 0.7761194029850746, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7135338345864661, 'recall': 0.7017045454545454, 'f1-score': 0.7051328722242447, 'support': 54.0}, 'weighted avg': {'precision': 0.7189640768588137, 'recall': 0.7222222222222222, 'f1-score': 0.7182785260688428, 'support': 54.0}} |
| No log | 35.0 | 70 | 0.5622 | {'0': {'precision': 0.6, 'recall': 0.8181818181818182, 'f1-score': 0.6923076923076923, 'support': 22.0}, '1': {'precision': 0.8333333333333334, 'recall': 0.625, 'f1-score': 0.7142857142857143, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7166666666666667, 'recall': 0.7215909090909092, 'f1-score': 0.7032967032967032, 'support': 54.0}, 'weighted avg': {'precision': 0.7382716049382716, 'recall': 0.7037037037037037, 'f1-score': 0.7053317053317053, 'support': 54.0}} |
| No log | 36.0 | 72 | 0.5362 | {'0': {'precision': 0.6071428571428571, 'recall': 0.7727272727272727, 'f1-score': 0.68, 'support': 22.0}, '1': {'precision': 0.8076923076923077, 'recall': 0.65625, 'f1-score': 0.7241379310344828, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7074175824175823, 'recall': 0.7144886363636364, 'f1-score': 0.7020689655172414, 'support': 54.0}, 'weighted avg': {'precision': 0.7259869759869759, 'recall': 0.7037037037037037, 'f1-score': 0.7061558109833973, 'support': 54.0}} |
| No log | 37.0 | 74 | 0.5145 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 38.0 | 76 | 0.5138 | {'0': {'precision': 0.6, 'recall': 0.5454545454545454, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7058823529411765, 'recall': 0.75, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6529411764705882, 'recall': 0.6477272727272727, 'f1-score': 0.6493506493506493, 'support': 54.0}, 'weighted avg': {'precision': 0.6627450980392157, 'recall': 0.6666666666666666, 'f1-score': 0.6637806637806638, 'support': 54.0}} |
| No log | 39.0 | 78 | 0.5959 | {'0': {'precision': 0.59375, 'recall': 0.8636363636363636, 'f1-score': 0.7037037037037037, 'support': 22.0}, '1': {'precision': 0.8636363636363636, 'recall': 0.59375, 'f1-score': 0.7037037037037037, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7286931818181819, 'recall': 0.7286931818181819, 'f1-score': 0.7037037037037037, 'support': 54.0}, 'weighted avg': {'precision': 0.75368265993266, 'recall': 0.7037037037037037, 'f1-score': 0.7037037037037037, 'support': 54.0}} |
| No log | 40.0 | 80 | 0.6088 | {'0': {'precision': 0.5757575757575758, 'recall': 0.8636363636363636, 'f1-score': 0.6909090909090909, 'support': 22.0}, '1': {'precision': 0.8571428571428571, 'recall': 0.5625, 'f1-score': 0.6792452830188679, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.7164502164502164, 'recall': 0.7130681818181819, 'f1-score': 0.6850771869639793, 'support': 54.0}, 'weighted avg': {'precision': 0.7425044091710759, 'recall': 0.6851851851851852, 'f1-score': 0.6839972047519217, 'support': 54.0}} |
| No log | 41.0 | 82 | 0.5925 | {'0': {'precision': 0.6206896551724138, 'recall': 0.8181818181818182, 'f1-score': 0.7058823529411765, 'support': 22.0}, '1': {'precision': 0.84, 'recall': 0.65625, 'f1-score': 0.7368421052631579, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7303448275862069, 'recall': 0.7372159090909092, 'f1-score': 0.7213622291021672, 'support': 54.0}, 'weighted avg': {'precision': 0.7506513409961686, 'recall': 0.7222222222222222, 'f1-score': 0.724228872835684, 'support': 54.0}} |
| No log | 42.0 | 84 | 0.5495 | {'0': {'precision': 0.6296296296296297, 'recall': 0.7727272727272727, 'f1-score': 0.6938775510204082, 'support': 22.0}, '1': {'precision': 0.8148148148148148, 'recall': 0.6875, 'f1-score': 0.7457627118644068, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7222222222222222, 'recall': 0.7301136363636364, 'f1-score': 0.7198201314424075, 'support': 54.0}, 'weighted avg': {'precision': 0.7393689986282579, 'recall': 0.7222222222222222, 'f1-score': 0.724624313002037, 'support': 54.0}} |
| No log | 43.0 | 86 | 0.5601 | {'0': {'precision': 0.7857142857142857, 'recall': 0.5, 'f1-score': 0.6111111111111112, 'support': 22.0}, '1': {'precision': 0.725, 'recall': 0.90625, 'f1-score': 0.8055555555555556, 'support': 32.0}, 'accuracy': 0.7407407407407407, 'macro avg': {'precision': 0.7553571428571428, 'recall': 0.703125, 'f1-score': 0.7083333333333334, 'support': 54.0}, 'weighted avg': {'precision': 0.7497354497354496, 'recall': 0.7407407407407407, 'f1-score': 0.7263374485596709, 'support': 54.0}} |
| No log | 44.0 | 88 | 0.6877 | {'0': {'precision': 0.5, 'recall': 0.9090909090909091, 'f1-score': 0.6451612903225806, 'support': 22.0}, '1': {'precision': 0.8571428571428571, 'recall': 0.375, 'f1-score': 0.5217391304347826, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.6785714285714286, 'recall': 0.6420454545454546, 'f1-score': 0.5834502103786816, 'support': 54.0}, 'weighted avg': {'precision': 0.7116402116402116, 'recall': 0.5925925925925926, 'f1-score': 0.5720222326112929, 'support': 54.0}} |
| No log | 45.0 | 90 | 0.5248 | {'0': {'precision': 0.7142857142857143, 'recall': 0.6818181818181818, 'f1-score': 0.6976744186046512, 'support': 22.0}, '1': {'precision': 0.7878787878787878, 'recall': 0.8125, 'f1-score': 0.8, 'support': 32.0}, 'accuracy': 0.7592592592592593, 'macro avg': {'precision': 0.751082251082251, 'recall': 0.7471590909090908, 'f1-score': 0.7488372093023257, 'support': 54.0}, 'weighted avg': {'precision': 0.7578964245630913, 'recall': 0.7592592592592593, 'f1-score': 0.7583118001722653, 'support': 54.0}} |
| No log | 46.0 | 92 | 0.5311 | {'0': {'precision': 0.7058823529411765, 'recall': 0.5454545454545454, 'f1-score': 0.6153846153846154, 'support': 22.0}, '1': {'precision': 0.7297297297297297, 'recall': 0.84375, 'f1-score': 0.782608695652174, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7178060413354531, 'recall': 0.6946022727272727, 'f1-score': 0.6989966555183946, 'support': 54.0}, 'weighted avg': {'precision': 0.7200141317788378, 'recall': 0.7222222222222222, 'f1-score': 0.7144803666542798, 'support': 54.0}} |
| No log | 47.0 | 94 | 0.5751 | {'0': {'precision': 0.5862068965517241, 'recall': 0.7727272727272727, 'f1-score': 0.6666666666666666, 'support': 22.0}, '1': {'precision': 0.8, 'recall': 0.625, 'f1-score': 0.7017543859649122, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.693103448275862, 'recall': 0.6988636363636364, 'f1-score': 0.6842105263157894, 'support': 54.0}, 'weighted avg': {'precision': 0.7128991060025542, 'recall': 0.6851851851851852, 'f1-score': 0.6874593892137751, 'support': 54.0}} |
| No log | 48.0 | 96 | 0.7343 | {'0': {'precision': 0.525, 'recall': 0.9545454545454546, 'f1-score': 0.6774193548387096, 'support': 22.0}, '1': {'precision': 0.9285714285714286, 'recall': 0.40625, 'f1-score': 0.5652173913043478, 'support': 32.0}, 'accuracy': 0.6296296296296297, 'macro avg': {'precision': 0.7267857142857144, 'recall': 0.6803977272727273, 'f1-score': 0.6213183730715287, 'support': 54.0}, 'weighted avg': {'precision': 0.7641534391534393, 'recall': 0.6296296296296297, 'f1-score': 0.6109293023739026, 'support': 54.0}} |
| No log | 49.0 | 98 | 0.5835 | {'0': {'precision': 0.7333333333333333, 'recall': 0.5, 'f1-score': 0.5945945945945946, 'support': 22.0}, '1': {'precision': 0.717948717948718, 'recall': 0.875, 'f1-score': 0.7887323943661971, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7256410256410256, 'recall': 0.6875, 'f1-score': 0.6916634944803959, 'support': 54.0}, 'weighted avg': {'precision': 0.7242165242165242, 'recall': 0.7222222222222222, 'f1-score': 0.7096392166814702, 'support': 54.0}} |
| No log | 50.0 | 100 | 0.6479 | {'0': {'precision': 0.6, 'recall': 0.8181818181818182, 'f1-score': 0.6923076923076923, 'support': 22.0}, '1': {'precision': 0.8333333333333334, 'recall': 0.625, 'f1-score': 0.7142857142857143, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7166666666666667, 'recall': 0.7215909090909092, 'f1-score': 0.7032967032967032, 'support': 54.0}, 'weighted avg': {'precision': 0.7382716049382716, 'recall': 0.7037037037037037, 'f1-score': 0.7053317053317053, 'support': 54.0}} |
| No log | 51.0 | 102 | 0.6786 | {'0': {'precision': 0.8888888888888888, 'recall': 0.36363636363636365, 'f1-score': 0.5161290322580645, 'support': 22.0}, '1': {'precision': 0.6888888888888889, 'recall': 0.96875, 'f1-score': 0.8051948051948052, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7888888888888889, 'recall': 0.6661931818181819, 'f1-score': 0.6606619187264349, 'support': 54.0}, 'weighted avg': {'precision': 0.7703703703703703, 'recall': 0.7222222222222222, 'f1-score': 0.6874272680724295, 'support': 54.0}} |
| No log | 52.0 | 104 | 0.7005 | {'0': {'precision': 0.5294117647058824, 'recall': 0.8181818181818182, 'f1-score': 0.6428571428571429, 'support': 22.0}, '1': {'precision': 0.8, 'recall': 0.5, 'f1-score': 0.6153846153846154, 'support': 32.0}, 'accuracy': 0.6296296296296297, 'macro avg': {'precision': 0.6647058823529413, 'recall': 0.6590909090909092, 'f1-score': 0.6291208791208791, 'support': 54.0}, 'weighted avg': {'precision': 0.689760348583878, 'recall': 0.6296296296296297, 'f1-score': 0.6265771265771266, 'support': 54.0}} |
| No log | 53.0 | 106 | 0.6526 | {'0': {'precision': 0.8333333333333334, 'recall': 0.45454545454545453, 'f1-score': 0.5882352941176471, 'support': 22.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.9375, 'f1-score': 0.8108108108108109, 'support': 32.0}, 'accuracy': 0.7407407407407407, 'macro avg': {'precision': 0.7738095238095238, 'recall': 0.6960227272727273, 'f1-score': 0.699523052464229, 'support': 54.0}, 'weighted avg': {'precision': 0.7627865961199295, 'recall': 0.7407407407407407, 'f1-score': 0.7201318966024849, 'support': 54.0}} |
| No log | 54.0 | 108 | 0.6463 | {'0': {'precision': 0.5, 'recall': 0.8181818181818182, 'f1-score': 0.6206896551724138, 'support': 22.0}, '1': {'precision': 0.7777777777777778, 'recall': 0.4375, 'f1-score': 0.56, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.6388888888888888, 'recall': 0.6278409090909092, 'f1-score': 0.5903448275862069, 'support': 54.0}, 'weighted avg': {'precision': 0.6646090534979423, 'recall': 0.5925925925925926, 'f1-score': 0.5847254150702427, 'support': 54.0}} |
| No log | 55.0 | 110 | 0.5458 | {'0': {'precision': 0.75, 'recall': 0.5454545454545454, 'f1-score': 0.631578947368421, 'support': 22.0}, '1': {'precision': 0.7368421052631579, 'recall': 0.875, 'f1-score': 0.8, 'support': 32.0}, 'accuracy': 0.7407407407407407, 'macro avg': {'precision': 0.743421052631579, 'recall': 0.7102272727272727, 'f1-score': 0.7157894736842105, 'support': 54.0}, 'weighted avg': {'precision': 0.7422027290448343, 'recall': 0.7407407407407407, 'f1-score': 0.7313840155945419, 'support': 54.0}} |
| No log | 56.0 | 112 | 0.8544 | {'0': {'precision': 0.5, 'recall': 0.9090909090909091, 'f1-score': 0.6451612903225806, 'support': 22.0}, '1': {'precision': 0.8571428571428571, 'recall': 0.375, 'f1-score': 0.5217391304347826, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.6785714285714286, 'recall': 0.6420454545454546, 'f1-score': 0.5834502103786816, 'support': 54.0}, 'weighted avg': {'precision': 0.7116402116402116, 'recall': 0.5925925925925926, 'f1-score': 0.5720222326112929, 'support': 54.0}} |
| No log | 57.0 | 114 | 0.5544 | {'0': {'precision': 0.7777777777777778, 'recall': 0.6363636363636364, 'f1-score': 0.7, 'support': 22.0}, '1': {'precision': 0.7777777777777778, 'recall': 0.875, 'f1-score': 0.8235294117647058, 'support': 32.0}, 'accuracy': 0.7777777777777778, 'macro avg': {'precision': 0.7777777777777778, 'recall': 0.7556818181818181, 'f1-score': 0.7617647058823529, 'support': 54.0}, 'weighted avg': {'precision': 0.7777777777777778, 'recall': 0.7777777777777778, 'f1-score': 0.7732026143790849, 'support': 54.0}} |
| No log | 58.0 | 116 | 1.0415 | {'0': {'precision': 0.5, 'recall': 0.9090909090909091, 'f1-score': 0.6451612903225806, 'support': 22.0}, '1': {'precision': 0.8571428571428571, 'recall': 0.375, 'f1-score': 0.5217391304347826, 'support': 32.0}, 'accuracy': 0.5925925925925926, 'macro avg': {'precision': 0.6785714285714286, 'recall': 0.6420454545454546, 'f1-score': 0.5834502103786816, 'support': 54.0}, 'weighted avg': {'precision': 0.7116402116402116, 'recall': 0.5925925925925926, 'f1-score': 0.5720222326112929, 'support': 54.0}} |
| No log | 59.0 | 118 | 0.6777 | {'0': {'precision': 0.7647058823529411, 'recall': 0.5909090909090909, 'f1-score': 0.6666666666666666, 'support': 22.0}, '1': {'precision': 0.7567567567567568, 'recall': 0.875, 'f1-score': 0.8115942028985508, 'support': 32.0}, 'accuracy': 0.7592592592592593, 'macro avg': {'precision': 0.760731319554849, 'recall': 0.7329545454545454, 'f1-score': 0.7391304347826086, 'support': 54.0}, 'weighted avg': {'precision': 0.7599952894070541, 'recall': 0.7592592592592593, 'f1-score': 0.7525496511003757, 'support': 54.0}} |
| No log | 60.0 | 120 | 1.1707 | {'0': {'precision': 0.4878048780487805, 'recall': 0.9090909090909091, 'f1-score': 0.6349206349206349, 'support': 22.0}, '1': {'precision': 0.8461538461538461, 'recall': 0.34375, 'f1-score': 0.4888888888888889, 'support': 32.0}, 'accuracy': 0.5740740740740741, 'macro avg': {'precision': 0.6669793621013134, 'recall': 0.6264204545454546, 'f1-score': 0.5619047619047619, 'support': 54.0}, 'weighted avg': {'precision': 0.7001598221110416, 'recall': 0.5740740740740741, 'f1-score': 0.5483833039388595, 'support': 54.0}} |
| No log | 61.0 | 122 | 0.7503 | {'0': {'precision': 0.7142857142857143, 'recall': 0.45454545454545453, 'f1-score': 0.5555555555555556, 'support': 22.0}, '1': {'precision': 0.7, 'recall': 0.875, 'f1-score': 0.7777777777777778, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7071428571428571, 'recall': 0.6647727272727273, 'f1-score': 0.6666666666666667, 'support': 54.0}, 'weighted avg': {'precision': 0.7058201058201058, 'recall': 0.7037037037037037, 'f1-score': 0.6872427983539096, 'support': 54.0}} |
| No log | 62.0 | 124 | 0.9343 | {'0': {'precision': 0.5128205128205128, 'recall': 0.9090909090909091, 'f1-score': 0.6557377049180327, 'support': 22.0}, '1': {'precision': 0.8666666666666667, 'recall': 0.40625, 'f1-score': 0.5531914893617021, 'support': 32.0}, 'accuracy': 0.6111111111111112, 'macro avg': {'precision': 0.6897435897435897, 'recall': 0.6576704545454546, 'f1-score': 0.6044645971398674, 'support': 54.0}, 'weighted avg': {'precision': 0.7225071225071226, 'recall': 0.6111111111111112, 'f1-score': 0.5949695771809479, 'support': 54.0}} |
| No log | 63.0 | 126 | 0.8613 | {'0': {'precision': 0.7, 'recall': 0.3181818181818182, 'f1-score': 0.4375, 'support': 22.0}, '1': {'precision': 0.6590909090909091, 'recall': 0.90625, 'f1-score': 0.7631578947368421, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6795454545454545, 'recall': 0.6122159090909091, 'f1-score': 0.600328947368421, 'support': 54.0}, 'weighted avg': {'precision': 0.6757575757575757, 'recall': 0.6666666666666666, 'f1-score': 0.6304824561403508, 'support': 54.0}} |
| No log | 64.0 | 128 | 0.8207 | {'0': {'precision': 0.5714285714285714, 'recall': 0.9090909090909091, 'f1-score': 0.7017543859649122, 'support': 22.0}, '1': {'precision': 0.8947368421052632, 'recall': 0.53125, 'f1-score': 0.6666666666666666, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.7330827067669172, 'recall': 0.7201704545454546, 'f1-score': 0.6842105263157894, 'support': 54.0}, 'weighted avg': {'precision': 0.7630186577554999, 'recall': 0.6851851851851852, 'f1-score': 0.6809616634178036, 'support': 54.0}} |
| No log | 65.0 | 130 | 0.8506 | {'0': {'precision': 0.7272727272727273, 'recall': 0.36363636363636365, 'f1-score': 0.48484848484848486, 'support': 22.0}, '1': {'precision': 0.6744186046511628, 'recall': 0.90625, 'f1-score': 0.7733333333333333, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.7008456659619451, 'recall': 0.6349431818181819, 'f1-score': 0.6290909090909091, 'support': 54.0}, 'weighted avg': {'precision': 0.6959517657192075, 'recall': 0.6851851851851852, 'f1-score': 0.6558024691358025, 'support': 54.0}} |
| No log | 66.0 | 132 | 0.8638 | {'0': {'precision': 0.5714285714285714, 'recall': 0.9090909090909091, 'f1-score': 0.7017543859649122, 'support': 22.0}, '1': {'precision': 0.8947368421052632, 'recall': 0.53125, 'f1-score': 0.6666666666666666, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.7330827067669172, 'recall': 0.7201704545454546, 'f1-score': 0.6842105263157894, 'support': 54.0}, 'weighted avg': {'precision': 0.7630186577554999, 'recall': 0.6851851851851852, 'f1-score': 0.6809616634178036, 'support': 54.0}} |
| No log | 67.0 | 134 | 1.0595 | {'0': {'precision': 0.7, 'recall': 0.3181818181818182, 'f1-score': 0.4375, 'support': 22.0}, '1': {'precision': 0.6590909090909091, 'recall': 0.90625, 'f1-score': 0.7631578947368421, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6795454545454545, 'recall': 0.6122159090909091, 'f1-score': 0.600328947368421, 'support': 54.0}, 'weighted avg': {'precision': 0.6757575757575757, 'recall': 0.6666666666666666, 'f1-score': 0.6304824561403508, 'support': 54.0}} |
| No log | 68.0 | 136 | 0.8218 | {'0': {'precision': 0.6129032258064516, 'recall': 0.8636363636363636, 'f1-score': 0.7169811320754716, 'support': 22.0}, '1': {'precision': 0.8695652173913043, 'recall': 0.625, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.741234221598878, 'recall': 0.7443181818181819, 'f1-score': 0.7221269296740995, 'support': 54.0}, 'weighted avg': {'precision': 0.7649992208196976, 'recall': 0.7222222222222222, 'f1-score': 0.7230798551553269, 'support': 54.0}} |
| No log | 69.0 | 138 | 1.1223 | {'0': {'precision': 0.7, 'recall': 0.3181818181818182, 'f1-score': 0.4375, 'support': 22.0}, '1': {'precision': 0.6590909090909091, 'recall': 0.90625, 'f1-score': 0.7631578947368421, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6795454545454545, 'recall': 0.6122159090909091, 'f1-score': 0.600328947368421, 'support': 54.0}, 'weighted avg': {'precision': 0.6757575757575757, 'recall': 0.6666666666666666, 'f1-score': 0.6304824561403508, 'support': 54.0}} |
| No log | 70.0 | 140 | 0.9777 | {'0': {'precision': 0.5555555555555556, 'recall': 0.9090909090909091, 'f1-score': 0.6896551724137931, 'support': 22.0}, '1': {'precision': 0.8888888888888888, 'recall': 0.5, 'f1-score': 0.64, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.7222222222222222, 'recall': 0.7045454545454546, 'f1-score': 0.6648275862068966, 'support': 54.0}, 'weighted avg': {'precision': 0.7530864197530863, 'recall': 0.6666666666666666, 'f1-score': 0.6602298850574713, 'support': 54.0}} |
| No log | 71.0 | 142 | 1.0496 | {'0': {'precision': 0.7272727272727273, 'recall': 0.36363636363636365, 'f1-score': 0.48484848484848486, 'support': 22.0}, '1': {'precision': 0.6744186046511628, 'recall': 0.90625, 'f1-score': 0.7733333333333333, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.7008456659619451, 'recall': 0.6349431818181819, 'f1-score': 0.6290909090909091, 'support': 54.0}, 'weighted avg': {'precision': 0.6959517657192075, 'recall': 0.6851851851851852, 'f1-score': 0.6558024691358025, 'support': 54.0}} |
| No log | 72.0 | 144 | 1.1527 | {'0': {'precision': 0.5405405405405406, 'recall': 0.9090909090909091, 'f1-score': 0.6779661016949152, 'support': 22.0}, '1': {'precision': 0.8823529411764706, 'recall': 0.46875, 'f1-score': 0.6122448979591837, 'support': 32.0}, 'accuracy': 0.6481481481481481, 'macro avg': {'precision': 0.7114467408585056, 'recall': 0.6889204545454546, 'f1-score': 0.6451054998270495, 'support': 54.0}, 'weighted avg': {'precision': 0.7430960372136843, 'recall': 0.6481481481481481, 'f1-score': 0.639020203184852, 'support': 54.0}} |
| No log | 73.0 | 146 | 1.1923 | {'0': {'precision': 0.75, 'recall': 0.4090909090909091, 'f1-score': 0.5294117647058824, 'support': 22.0}, '1': {'precision': 0.6904761904761905, 'recall': 0.90625, 'f1-score': 0.7837837837837838, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7202380952380952, 'recall': 0.6576704545454546, 'f1-score': 0.656597774244833, 'support': 54.0}, 'weighted avg': {'precision': 0.7147266313932981, 'recall': 0.7037037037037037, 'f1-score': 0.6801507389742684, 'support': 54.0}} |
| No log | 74.0 | 148 | 1.2597 | {'0': {'precision': 0.5757575757575758, 'recall': 0.8636363636363636, 'f1-score': 0.6909090909090909, 'support': 22.0}, '1': {'precision': 0.8571428571428571, 'recall': 0.5625, 'f1-score': 0.6792452830188679, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.7164502164502164, 'recall': 0.7130681818181819, 'f1-score': 0.6850771869639793, 'support': 54.0}, 'weighted avg': {'precision': 0.7425044091710759, 'recall': 0.6851851851851852, 'f1-score': 0.6839972047519217, 'support': 54.0}} |
| No log | 75.0 | 150 | 1.5068 | {'0': {'precision': 0.75, 'recall': 0.4090909090909091, 'f1-score': 0.5294117647058824, 'support': 22.0}, '1': {'precision': 0.6904761904761905, 'recall': 0.90625, 'f1-score': 0.7837837837837838, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7202380952380952, 'recall': 0.6576704545454546, 'f1-score': 0.656597774244833, 'support': 54.0}, 'weighted avg': {'precision': 0.7147266313932981, 'recall': 0.7037037037037037, 'f1-score': 0.6801507389742684, 'support': 54.0}} |
| No log | 76.0 | 152 | 1.3156 | {'0': {'precision': 0.6, 'recall': 0.8181818181818182, 'f1-score': 0.6923076923076923, 'support': 22.0}, '1': {'precision': 0.8333333333333334, 'recall': 0.625, 'f1-score': 0.7142857142857143, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7166666666666667, 'recall': 0.7215909090909092, 'f1-score': 0.7032967032967032, 'support': 54.0}, 'weighted avg': {'precision': 0.7382716049382716, 'recall': 0.7037037037037037, 'f1-score': 0.7053317053317053, 'support': 54.0}} |
| No log | 77.0 | 154 | 1.1601 | {'0': {'precision': 0.65, 'recall': 0.5909090909090909, 'f1-score': 0.6190476190476191, 'support': 22.0}, '1': {'precision': 0.7352941176470589, 'recall': 0.78125, 'f1-score': 0.7575757575757576, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6926470588235294, 'recall': 0.6860795454545454, 'f1-score': 0.6883116883116883, 'support': 54.0}, 'weighted avg': {'precision': 0.7005446623093682, 'recall': 0.7037037037037037, 'f1-score': 0.7011383678050345, 'support': 54.0}} |
| No log | 78.0 | 156 | 1.3362 | {'0': {'precision': 0.6428571428571429, 'recall': 0.8181818181818182, 'f1-score': 0.72, 'support': 22.0}, '1': {'precision': 0.8461538461538461, 'recall': 0.6875, 'f1-score': 0.7586206896551724, 'support': 32.0}, 'accuracy': 0.7407407407407407, 'macro avg': {'precision': 0.7445054945054945, 'recall': 0.7528409090909092, 'f1-score': 0.7393103448275862, 'support': 54.0}, 'weighted avg': {'precision': 0.7633292633292633, 'recall': 0.7407407407407407, 'f1-score': 0.7428863346104725, 'support': 54.0}} |
| No log | 79.0 | 158 | 1.5329 | {'0': {'precision': 0.6428571428571429, 'recall': 0.4090909090909091, 'f1-score': 0.5, 'support': 22.0}, '1': {'precision': 0.675, 'recall': 0.84375, 'f1-score': 0.75, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6589285714285715, 'recall': 0.6264204545454546, 'f1-score': 0.625, 'support': 54.0}, 'weighted avg': {'precision': 0.661904761904762, 'recall': 0.6666666666666666, 'f1-score': 0.6481481481481481, 'support': 54.0}} |
| No log | 80.0 | 160 | 1.3651 | {'0': {'precision': 0.625, 'recall': 0.6818181818181818, 'f1-score': 0.6521739130434783, 'support': 22.0}, '1': {'precision': 0.7666666666666667, 'recall': 0.71875, 'f1-score': 0.7419354838709677, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6958333333333333, 'recall': 0.7002840909090908, 'f1-score': 0.697054698457223, 'support': 54.0}, 'weighted avg': {'precision': 0.7089506172839506, 'recall': 0.7037037037037037, 'f1-score': 0.705365955015324, 'support': 54.0}} |
| No log | 81.0 | 162 | 1.5115 | {'0': {'precision': 0.6071428571428571, 'recall': 0.7727272727272727, 'f1-score': 0.68, 'support': 22.0}, '1': {'precision': 0.8076923076923077, 'recall': 0.65625, 'f1-score': 0.7241379310344828, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7074175824175823, 'recall': 0.7144886363636364, 'f1-score': 0.7020689655172414, 'support': 54.0}, 'weighted avg': {'precision': 0.7259869759869759, 'recall': 0.7037037037037037, 'f1-score': 0.7061558109833973, 'support': 54.0}} |
| No log | 82.0 | 164 | 1.4976 | {'0': {'precision': 0.6666666666666666, 'recall': 0.5454545454545454, 'f1-score': 0.6, 'support': 22.0}, '1': {'precision': 0.7222222222222222, 'recall': 0.8125, 'f1-score': 0.7647058823529411, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6944444444444444, 'recall': 0.6789772727272727, 'f1-score': 0.6823529411764706, 'support': 54.0}, 'weighted avg': {'precision': 0.6995884773662552, 'recall': 0.7037037037037037, 'f1-score': 0.69760348583878, 'support': 54.0}} |
| No log | 83.0 | 166 | 1.7071 | {'0': {'precision': 0.7058823529411765, 'recall': 0.5454545454545454, 'f1-score': 0.6153846153846154, 'support': 22.0}, '1': {'precision': 0.7297297297297297, 'recall': 0.84375, 'f1-score': 0.782608695652174, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7178060413354531, 'recall': 0.6946022727272727, 'f1-score': 0.6989966555183946, 'support': 54.0}, 'weighted avg': {'precision': 0.7200141317788378, 'recall': 0.7222222222222222, 'f1-score': 0.7144803666542798, 'support': 54.0}} |
| No log | 84.0 | 168 | 1.6877 | {'0': {'precision': 0.6666666666666666, 'recall': 0.5454545454545454, 'f1-score': 0.6, 'support': 22.0}, '1': {'precision': 0.7222222222222222, 'recall': 0.8125, 'f1-score': 0.7647058823529411, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6944444444444444, 'recall': 0.6789772727272727, 'f1-score': 0.6823529411764706, 'support': 54.0}, 'weighted avg': {'precision': 0.6995884773662552, 'recall': 0.7037037037037037, 'f1-score': 0.69760348583878, 'support': 54.0}} |
| No log | 85.0 | 170 | 1.6891 | {'0': {'precision': 0.64, 'recall': 0.7272727272727273, 'f1-score': 0.6808510638297872, 'support': 22.0}, '1': {'precision': 0.7931034482758621, 'recall': 0.71875, 'f1-score': 0.7540983606557377, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7165517241379311, 'recall': 0.7230113636363636, 'f1-score': 0.7174747122427625, 'support': 54.0}, 'weighted avg': {'precision': 0.730727969348659, 'recall': 0.7222222222222222, 'f1-score': 0.7242568693562764, 'support': 54.0}} |
| No log | 86.0 | 172 | 1.8116 | {'0': {'precision': 0.6206896551724138, 'recall': 0.8181818181818182, 'f1-score': 0.7058823529411765, 'support': 22.0}, '1': {'precision': 0.84, 'recall': 0.65625, 'f1-score': 0.7368421052631579, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7303448275862069, 'recall': 0.7372159090909092, 'f1-score': 0.7213622291021672, 'support': 54.0}, 'weighted avg': {'precision': 0.7506513409961686, 'recall': 0.7222222222222222, 'f1-score': 0.724228872835684, 'support': 54.0}} |
| No log | 87.0 | 174 | 1.7178 | {'0': {'precision': 0.64, 'recall': 0.7272727272727273, 'f1-score': 0.6808510638297872, 'support': 22.0}, '1': {'precision': 0.7931034482758621, 'recall': 0.71875, 'f1-score': 0.7540983606557377, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7165517241379311, 'recall': 0.7230113636363636, 'f1-score': 0.7174747122427625, 'support': 54.0}, 'weighted avg': {'precision': 0.730727969348659, 'recall': 0.7222222222222222, 'f1-score': 0.7242568693562764, 'support': 54.0}} |
| No log | 88.0 | 176 | 1.8128 | {'0': {'precision': 0.6666666666666666, 'recall': 0.5454545454545454, 'f1-score': 0.6, 'support': 22.0}, '1': {'precision': 0.7222222222222222, 'recall': 0.8125, 'f1-score': 0.7647058823529411, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6944444444444444, 'recall': 0.6789772727272727, 'f1-score': 0.6823529411764706, 'support': 54.0}, 'weighted avg': {'precision': 0.6995884773662552, 'recall': 0.7037037037037037, 'f1-score': 0.69760348583878, 'support': 54.0}} |
| No log | 89.0 | 178 | 2.0186 | {'0': {'precision': 0.6875, 'recall': 0.5, 'f1-score': 0.5789473684210527, 'support': 22.0}, '1': {'precision': 0.7105263157894737, 'recall': 0.84375, 'f1-score': 0.7714285714285715, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6990131578947368, 'recall': 0.671875, 'f1-score': 0.675187969924812, 'support': 54.0}, 'weighted avg': {'precision': 0.7011452241715399, 'recall': 0.7037037037037037, 'f1-score': 0.6930103035366194, 'support': 54.0}} |
| No log | 90.0 | 180 | 1.9870 | {'0': {'precision': 0.6875, 'recall': 0.5, 'f1-score': 0.5789473684210527, 'support': 22.0}, '1': {'precision': 0.7105263157894737, 'recall': 0.84375, 'f1-score': 0.7714285714285715, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6990131578947368, 'recall': 0.671875, 'f1-score': 0.675187969924812, 'support': 54.0}, 'weighted avg': {'precision': 0.7011452241715399, 'recall': 0.7037037037037037, 'f1-score': 0.6930103035366194, 'support': 54.0}} |
| No log | 91.0 | 182 | 1.8450 | {'0': {'precision': 0.6666666666666666, 'recall': 0.5454545454545454, 'f1-score': 0.6, 'support': 22.0}, '1': {'precision': 0.7222222222222222, 'recall': 0.8125, 'f1-score': 0.7647058823529411, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6944444444444444, 'recall': 0.6789772727272727, 'f1-score': 0.6823529411764706, 'support': 54.0}, 'weighted avg': {'precision': 0.6995884773662552, 'recall': 0.7037037037037037, 'f1-score': 0.69760348583878, 'support': 54.0}} |
| No log | 92.0 | 184 | 1.7591 | {'0': {'precision': 0.6, 'recall': 0.5454545454545454, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7058823529411765, 'recall': 0.75, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6529411764705882, 'recall': 0.6477272727272727, 'f1-score': 0.6493506493506493, 'support': 54.0}, 'weighted avg': {'precision': 0.6627450980392157, 'recall': 0.6666666666666666, 'f1-score': 0.6637806637806638, 'support': 54.0}} |
| No log | 93.0 | 186 | 1.7957 | {'0': {'precision': 0.6153846153846154, 'recall': 0.7272727272727273, 'f1-score': 0.6666666666666666, 'support': 22.0}, '1': {'precision': 0.7857142857142857, 'recall': 0.6875, 'f1-score': 0.7333333333333333, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7005494505494505, 'recall': 0.7073863636363636, 'f1-score': 0.7, 'support': 54.0}, 'weighted avg': {'precision': 0.7163207163207164, 'recall': 0.7037037037037037, 'f1-score': 0.7061728395061728, 'support': 54.0}} |
| No log | 94.0 | 188 | 1.8606 | {'0': {'precision': 0.6428571428571429, 'recall': 0.8181818181818182, 'f1-score': 0.72, 'support': 22.0}, '1': {'precision': 0.8461538461538461, 'recall': 0.6875, 'f1-score': 0.7586206896551724, 'support': 32.0}, 'accuracy': 0.7407407407407407, 'macro avg': {'precision': 0.7445054945054945, 'recall': 0.7528409090909092, 'f1-score': 0.7393103448275862, 'support': 54.0}, 'weighted avg': {'precision': 0.7633292633292633, 'recall': 0.7407407407407407, 'f1-score': 0.7428863346104725, 'support': 54.0}} |
| No log | 95.0 | 190 | 1.9176 | {'0': {'precision': 0.6, 'recall': 0.8181818181818182, 'f1-score': 0.6923076923076923, 'support': 22.0}, '1': {'precision': 0.8333333333333334, 'recall': 0.625, 'f1-score': 0.7142857142857143, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7166666666666667, 'recall': 0.7215909090909092, 'f1-score': 0.7032967032967032, 'support': 54.0}, 'weighted avg': {'precision': 0.7382716049382716, 'recall': 0.7037037037037037, 'f1-score': 0.7053317053317053, 'support': 54.0}} |
| No log | 96.0 | 192 | 1.9135 | {'0': {'precision': 0.6, 'recall': 0.8181818181818182, 'f1-score': 0.6923076923076923, 'support': 22.0}, '1': {'precision': 0.8333333333333334, 'recall': 0.625, 'f1-score': 0.7142857142857143, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.7166666666666667, 'recall': 0.7215909090909092, 'f1-score': 0.7032967032967032, 'support': 54.0}, 'weighted avg': {'precision': 0.7382716049382716, 'recall': 0.7037037037037037, 'f1-score': 0.7053317053317053, 'support': 54.0}} |
| No log | 97.0 | 194 | 1.9007 | {'0': {'precision': 0.6206896551724138, 'recall': 0.8181818181818182, 'f1-score': 0.7058823529411765, 'support': 22.0}, '1': {'precision': 0.84, 'recall': 0.65625, 'f1-score': 0.7368421052631579, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7303448275862069, 'recall': 0.7372159090909092, 'f1-score': 0.7213622291021672, 'support': 54.0}, 'weighted avg': {'precision': 0.7506513409961686, 'recall': 0.7222222222222222, 'f1-score': 0.724228872835684, 'support': 54.0}} |
| No log | 98.0 | 196 | 1.8694 | {'0': {'precision': 0.6296296296296297, 'recall': 0.7727272727272727, 'f1-score': 0.6938775510204082, 'support': 22.0}, '1': {'precision': 0.8148148148148148, 'recall': 0.6875, 'f1-score': 0.7457627118644068, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7222222222222222, 'recall': 0.7301136363636364, 'f1-score': 0.7198201314424075, 'support': 54.0}, 'weighted avg': {'precision': 0.7393689986282579, 'recall': 0.7222222222222222, 'f1-score': 0.724624313002037, 'support': 54.0}} |
| No log | 99.0 | 198 | 1.8401 | {'0': {'precision': 0.64, 'recall': 0.7272727272727273, 'f1-score': 0.6808510638297872, 'support': 22.0}, '1': {'precision': 0.7931034482758621, 'recall': 0.71875, 'f1-score': 0.7540983606557377, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7165517241379311, 'recall': 0.7230113636363636, 'f1-score': 0.7174747122427625, 'support': 54.0}, 'weighted avg': {'precision': 0.730727969348659, 'recall': 0.7222222222222222, 'f1-score': 0.7242568693562764, 'support': 54.0}} |
| No log | 100.0 | 200 | 1.8217 | {'0': {'precision': 0.625, 'recall': 0.6818181818181818, 'f1-score': 0.6521739130434783, 'support': 22.0}, '1': {'precision': 0.7666666666666667, 'recall': 0.71875, 'f1-score': 0.7419354838709677, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6958333333333333, 'recall': 0.7002840909090908, 'f1-score': 0.697054698457223, 'support': 54.0}, 'weighted avg': {'precision': 0.7089506172839506, 'recall': 0.7037037037037037, 'f1-score': 0.705365955015324, 'support': 54.0}} |
| No log | 101.0 | 202 | 1.8243 | {'0': {'precision': 0.6521739130434783, 'recall': 0.6818181818181818, 'f1-score': 0.6666666666666666, 'support': 22.0}, '1': {'precision': 0.7741935483870968, 'recall': 0.75, 'f1-score': 0.7619047619047619, 'support': 32.0}, 'accuracy': 0.7222222222222222, 'macro avg': {'precision': 0.7131837307152875, 'recall': 0.7159090909090908, 'f1-score': 0.7142857142857142, 'support': 54.0}, 'weighted avg': {'precision': 0.724481845098956, 'recall': 0.7222222222222222, 'f1-score': 0.7231040564373897, 'support': 54.0}} |
| No log | 102.0 | 204 | 1.8071 | {'0': {'precision': 0.6363636363636364, 'recall': 0.6363636363636364, 'f1-score': 0.6363636363636364, 'support': 22.0}, '1': {'precision': 0.75, 'recall': 0.75, 'f1-score': 0.75, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6931818181818181, 'recall': 0.6931818181818181, 'f1-score': 0.6931818181818181, 'support': 54.0}, 'weighted avg': {'precision': 0.7037037037037037, 'recall': 0.7037037037037037, 'f1-score': 0.7037037037037037, 'support': 54.0}} |
| No log | 103.0 | 206 | 1.8314 | {'0': {'precision': 0.6, 'recall': 0.5454545454545454, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7058823529411765, 'recall': 0.75, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6529411764705882, 'recall': 0.6477272727272727, 'f1-score': 0.6493506493506493, 'support': 54.0}, 'weighted avg': {'precision': 0.6627450980392157, 'recall': 0.6666666666666666, 'f1-score': 0.6637806637806638, 'support': 54.0}} |
| No log | 104.0 | 208 | 1.8233 | {'0': {'precision': 0.65, 'recall': 0.5909090909090909, 'f1-score': 0.6190476190476191, 'support': 22.0}, '1': {'precision': 0.7352941176470589, 'recall': 0.78125, 'f1-score': 0.7575757575757576, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6926470588235294, 'recall': 0.6860795454545454, 'f1-score': 0.6883116883116883, 'support': 54.0}, 'weighted avg': {'precision': 0.7005446623093682, 'recall': 0.7037037037037037, 'f1-score': 0.7011383678050345, 'support': 54.0}} |
| No log | 105.0 | 210 | 1.8241 | {'0': {'precision': 0.631578947368421, 'recall': 0.5454545454545454, 'f1-score': 0.5853658536585366, 'support': 22.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.78125, 'f1-score': 0.746268656716418, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6729323308270676, 'recall': 0.6633522727272727, 'f1-score': 0.6658172551874773, 'support': 54.0}, 'weighted avg': {'precision': 0.6805903648008912, 'recall': 0.6851851851851852, 'f1-score': 0.6807156628780219, 'support': 54.0}} |
| No log | 106.0 | 212 | 1.8202 | {'0': {'precision': 0.6666666666666666, 'recall': 0.5454545454545454, 'f1-score': 0.6, 'support': 22.0}, '1': {'precision': 0.7222222222222222, 'recall': 0.8125, 'f1-score': 0.7647058823529411, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6944444444444444, 'recall': 0.6789772727272727, 'f1-score': 0.6823529411764706, 'support': 54.0}, 'weighted avg': {'precision': 0.6995884773662552, 'recall': 0.7037037037037037, 'f1-score': 0.69760348583878, 'support': 54.0}} |
| No log | 107.0 | 214 | 1.8317 | {'0': {'precision': 0.631578947368421, 'recall': 0.5454545454545454, 'f1-score': 0.5853658536585366, 'support': 22.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.78125, 'f1-score': 0.746268656716418, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6729323308270676, 'recall': 0.6633522727272727, 'f1-score': 0.6658172551874773, 'support': 54.0}, 'weighted avg': {'precision': 0.6805903648008912, 'recall': 0.6851851851851852, 'f1-score': 0.6807156628780219, 'support': 54.0}} |
| No log | 108.0 | 216 | 1.8290 | {'0': {'precision': 0.65, 'recall': 0.5909090909090909, 'f1-score': 0.6190476190476191, 'support': 22.0}, '1': {'precision': 0.7352941176470589, 'recall': 0.78125, 'f1-score': 0.7575757575757576, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6926470588235294, 'recall': 0.6860795454545454, 'f1-score': 0.6883116883116883, 'support': 54.0}, 'weighted avg': {'precision': 0.7005446623093682, 'recall': 0.7037037037037037, 'f1-score': 0.7011383678050345, 'support': 54.0}} |
| No log | 109.0 | 218 | 1.8441 | {'0': {'precision': 0.631578947368421, 'recall': 0.5454545454545454, 'f1-score': 0.5853658536585366, 'support': 22.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.78125, 'f1-score': 0.746268656716418, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6729323308270676, 'recall': 0.6633522727272727, 'f1-score': 0.6658172551874773, 'support': 54.0}, 'weighted avg': {'precision': 0.6805903648008912, 'recall': 0.6851851851851852, 'f1-score': 0.6807156628780219, 'support': 54.0}} |
| No log | 110.0 | 220 | 1.8544 | {'0': {'precision': 0.631578947368421, 'recall': 0.5454545454545454, 'f1-score': 0.5853658536585366, 'support': 22.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.78125, 'f1-score': 0.746268656716418, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6729323308270676, 'recall': 0.6633522727272727, 'f1-score': 0.6658172551874773, 'support': 54.0}, 'weighted avg': {'precision': 0.6805903648008912, 'recall': 0.6851851851851852, 'f1-score': 0.6807156628780219, 'support': 54.0}} |
| No log | 111.0 | 222 | 1.8491 | {'0': {'precision': 0.631578947368421, 'recall': 0.5454545454545454, 'f1-score': 0.5853658536585366, 'support': 22.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.78125, 'f1-score': 0.746268656716418, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6729323308270676, 'recall': 0.6633522727272727, 'f1-score': 0.6658172551874773, 'support': 54.0}, 'weighted avg': {'precision': 0.6805903648008912, 'recall': 0.6851851851851852, 'f1-score': 0.6807156628780219, 'support': 54.0}} |
| No log | 112.0 | 224 | 1.8381 | {'0': {'precision': 0.65, 'recall': 0.5909090909090909, 'f1-score': 0.6190476190476191, 'support': 22.0}, '1': {'precision': 0.7352941176470589, 'recall': 0.78125, 'f1-score': 0.7575757575757576, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6926470588235294, 'recall': 0.6860795454545454, 'f1-score': 0.6883116883116883, 'support': 54.0}, 'weighted avg': {'precision': 0.7005446623093682, 'recall': 0.7037037037037037, 'f1-score': 0.7011383678050345, 'support': 54.0}} |
| No log | 113.0 | 226 | 1.8562 | {'0': {'precision': 0.631578947368421, 'recall': 0.5454545454545454, 'f1-score': 0.5853658536585366, 'support': 22.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.78125, 'f1-score': 0.746268656716418, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6729323308270676, 'recall': 0.6633522727272727, 'f1-score': 0.6658172551874773, 'support': 54.0}, 'weighted avg': {'precision': 0.6805903648008912, 'recall': 0.6851851851851852, 'f1-score': 0.6807156628780219, 'support': 54.0}} |
| No log | 114.0 | 228 | 1.8425 | {'0': {'precision': 0.631578947368421, 'recall': 0.5454545454545454, 'f1-score': 0.5853658536585366, 'support': 22.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.78125, 'f1-score': 0.746268656716418, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6729323308270676, 'recall': 0.6633522727272727, 'f1-score': 0.6658172551874773, 'support': 54.0}, 'weighted avg': {'precision': 0.6805903648008912, 'recall': 0.6851851851851852, 'f1-score': 0.6807156628780219, 'support': 54.0}} |
| No log | 115.0 | 230 | 1.8307 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 116.0 | 232 | 1.8397 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 117.0 | 234 | 1.8385 | {'0': {'precision': 0.65, 'recall': 0.5909090909090909, 'f1-score': 0.6190476190476191, 'support': 22.0}, '1': {'precision': 0.7352941176470589, 'recall': 0.78125, 'f1-score': 0.7575757575757576, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6926470588235294, 'recall': 0.6860795454545454, 'f1-score': 0.6883116883116883, 'support': 54.0}, 'weighted avg': {'precision': 0.7005446623093682, 'recall': 0.7037037037037037, 'f1-score': 0.7011383678050345, 'support': 54.0}} |
| No log | 118.0 | 236 | 1.8344 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 119.0 | 238 | 1.8443 | {'0': {'precision': 0.6, 'recall': 0.5454545454545454, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7058823529411765, 'recall': 0.75, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6529411764705882, 'recall': 0.6477272727272727, 'f1-score': 0.6493506493506493, 'support': 54.0}, 'weighted avg': {'precision': 0.6627450980392157, 'recall': 0.6666666666666666, 'f1-score': 0.6637806637806638, 'support': 54.0}} |
| No log | 120.0 | 240 | 1.8417 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 121.0 | 242 | 1.8562 | {'0': {'precision': 0.5714285714285714, 'recall': 0.5454545454545454, 'f1-score': 0.5581395348837209, 'support': 22.0}, '1': {'precision': 0.696969696969697, 'recall': 0.71875, 'f1-score': 0.7076923076923077, 'support': 32.0}, 'accuracy': 0.6481481481481481, 'macro avg': {'precision': 0.6341991341991342, 'recall': 0.6321022727272727, 'f1-score': 0.6329159212880143, 'support': 54.0}, 'weighted avg': {'precision': 0.6458233124899792, 'recall': 0.6481481481481481, 'f1-score': 0.6467634002517723, 'support': 54.0}} |
| No log | 122.0 | 244 | 1.8369 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 123.0 | 246 | 1.8531 | {'0': {'precision': 0.5714285714285714, 'recall': 0.5454545454545454, 'f1-score': 0.5581395348837209, 'support': 22.0}, '1': {'precision': 0.696969696969697, 'recall': 0.71875, 'f1-score': 0.7076923076923077, 'support': 32.0}, 'accuracy': 0.6481481481481481, 'macro avg': {'precision': 0.6341991341991342, 'recall': 0.6321022727272727, 'f1-score': 0.6329159212880143, 'support': 54.0}, 'weighted avg': {'precision': 0.6458233124899792, 'recall': 0.6481481481481481, 'f1-score': 0.6467634002517723, 'support': 54.0}} |
| No log | 124.0 | 248 | 1.8423 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 125.0 | 250 | 1.8553 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 126.0 | 252 | 1.8325 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 127.0 | 254 | 1.8464 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 128.0 | 256 | 1.8315 | {'0': {'precision': 0.6363636363636364, 'recall': 0.6363636363636364, 'f1-score': 0.6363636363636364, 'support': 22.0}, '1': {'precision': 0.75, 'recall': 0.75, 'f1-score': 0.75, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6931818181818181, 'recall': 0.6931818181818181, 'f1-score': 0.6931818181818181, 'support': 54.0}, 'weighted avg': {'precision': 0.7037037037037037, 'recall': 0.7037037037037037, 'f1-score': 0.7037037037037037, 'support': 54.0}} |
| No log | 129.0 | 258 | 1.8275 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 130.0 | 260 | 1.8332 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 131.0 | 262 | 1.8385 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 132.0 | 264 | 1.8557 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 133.0 | 266 | 1.8318 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 134.0 | 268 | 1.8446 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 135.0 | 270 | 1.8302 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 136.0 | 272 | 1.8277 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 137.0 | 274 | 1.8392 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 138.0 | 276 | 1.8433 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 139.0 | 278 | 1.8456 | {'0': {'precision': 0.6086956521739131, 'recall': 0.6363636363636364, 'f1-score': 0.6222222222222222, 'support': 22.0}, '1': {'precision': 0.7419354838709677, 'recall': 0.71875, 'f1-score': 0.7301587301587301, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6753155680224404, 'recall': 0.6775568181818181, 'f1-score': 0.6761904761904762, 'support': 54.0}, 'weighted avg': {'precision': 0.6876525894758714, 'recall': 0.6851851851851852, 'f1-score': 0.6861845972957084, 'support': 54.0}} |
| No log | 140.0 | 280 | 1.8351 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 141.0 | 282 | 1.8503 | {'0': {'precision': 0.6, 'recall': 0.5454545454545454, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7058823529411765, 'recall': 0.75, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6529411764705882, 'recall': 0.6477272727272727, 'f1-score': 0.6493506493506493, 'support': 54.0}, 'weighted avg': {'precision': 0.6627450980392157, 'recall': 0.6666666666666666, 'f1-score': 0.6637806637806638, 'support': 54.0}} |
| No log | 142.0 | 284 | 1.8450 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 143.0 | 286 | 1.8336 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 144.0 | 288 | 1.8347 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 145.0 | 290 | 1.8489 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 146.0 | 292 | 1.8469 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 147.0 | 294 | 1.8301 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 148.0 | 296 | 1.8529 | {'0': {'precision': 0.6, 'recall': 0.5454545454545454, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7058823529411765, 'recall': 0.75, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6529411764705882, 'recall': 0.6477272727272727, 'f1-score': 0.6493506493506493, 'support': 54.0}, 'weighted avg': {'precision': 0.6627450980392157, 'recall': 0.6666666666666666, 'f1-score': 0.6637806637806638, 'support': 54.0}} |
| No log | 149.0 | 298 | 1.8336 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 150.0 | 300 | 1.8365 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 151.0 | 302 | 1.8388 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 152.0 | 304 | 1.8289 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 153.0 | 306 | 1.8479 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 154.0 | 308 | 1.8517 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 155.0 | 310 | 1.8554 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 156.0 | 312 | 1.8439 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 157.0 | 314 | 1.8401 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 158.0 | 316 | 1.8299 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 159.0 | 318 | 1.8467 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 160.0 | 320 | 1.8445 | {'0': {'precision': 0.6086956521739131, 'recall': 0.6363636363636364, 'f1-score': 0.6222222222222222, 'support': 22.0}, '1': {'precision': 0.7419354838709677, 'recall': 0.71875, 'f1-score': 0.7301587301587301, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6753155680224404, 'recall': 0.6775568181818181, 'f1-score': 0.6761904761904762, 'support': 54.0}, 'weighted avg': {'precision': 0.6876525894758714, 'recall': 0.6851851851851852, 'f1-score': 0.6861845972957084, 'support': 54.0}} |
| No log | 161.0 | 322 | 1.8470 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 162.0 | 324 | 1.8533 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 163.0 | 326 | 1.8370 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 164.0 | 328 | 1.8510 | {'0': {'precision': 0.5714285714285714, 'recall': 0.5454545454545454, 'f1-score': 0.5581395348837209, 'support': 22.0}, '1': {'precision': 0.696969696969697, 'recall': 0.71875, 'f1-score': 0.7076923076923077, 'support': 32.0}, 'accuracy': 0.6481481481481481, 'macro avg': {'precision': 0.6341991341991342, 'recall': 0.6321022727272727, 'f1-score': 0.6329159212880143, 'support': 54.0}, 'weighted avg': {'precision': 0.6458233124899792, 'recall': 0.6481481481481481, 'f1-score': 0.6467634002517723, 'support': 54.0}} |
| No log | 165.0 | 330 | 1.8353 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 166.0 | 332 | 1.8533 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 167.0 | 334 | 1.8582 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 168.0 | 336 | 1.8508 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 169.0 | 338 | 1.8416 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 170.0 | 340 | 1.8405 | {'0': {'precision': 0.6086956521739131, 'recall': 0.6363636363636364, 'f1-score': 0.6222222222222222, 'support': 22.0}, '1': {'precision': 0.7419354838709677, 'recall': 0.71875, 'f1-score': 0.7301587301587301, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6753155680224404, 'recall': 0.6775568181818181, 'f1-score': 0.6761904761904762, 'support': 54.0}, 'weighted avg': {'precision': 0.6876525894758714, 'recall': 0.6851851851851852, 'f1-score': 0.6861845972957084, 'support': 54.0}} |
| No log | 171.0 | 342 | 1.8340 | {'0': {'precision': 0.6363636363636364, 'recall': 0.6363636363636364, 'f1-score': 0.6363636363636364, 'support': 22.0}, '1': {'precision': 0.75, 'recall': 0.75, 'f1-score': 0.75, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6931818181818181, 'recall': 0.6931818181818181, 'f1-score': 0.6931818181818181, 'support': 54.0}, 'weighted avg': {'precision': 0.7037037037037037, 'recall': 0.7037037037037037, 'f1-score': 0.7037037037037037, 'support': 54.0}} |
| No log | 172.0 | 344 | 1.8380 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 173.0 | 346 | 1.8567 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 174.0 | 348 | 1.8468 | {'0': {'precision': 0.6363636363636364, 'recall': 0.6363636363636364, 'f1-score': 0.6363636363636364, 'support': 22.0}, '1': {'precision': 0.75, 'recall': 0.75, 'f1-score': 0.75, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6931818181818181, 'recall': 0.6931818181818181, 'f1-score': 0.6931818181818181, 'support': 54.0}, 'weighted avg': {'precision': 0.7037037037037037, 'recall': 0.7037037037037037, 'f1-score': 0.7037037037037037, 'support': 54.0}} |
| No log | 175.0 | 350 | 1.8516 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 176.0 | 352 | 1.8513 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 177.0 | 354 | 1.8428 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 178.0 | 356 | 1.8395 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 179.0 | 358 | 1.8570 | {'0': {'precision': 0.6, 'recall': 0.5454545454545454, 'f1-score': 0.5714285714285714, 'support': 22.0}, '1': {'precision': 0.7058823529411765, 'recall': 0.75, 'f1-score': 0.7272727272727273, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6529411764705882, 'recall': 0.6477272727272727, 'f1-score': 0.6493506493506493, 'support': 54.0}, 'weighted avg': {'precision': 0.6627450980392157, 'recall': 0.6666666666666666, 'f1-score': 0.6637806637806638, 'support': 54.0}} |
| No log | 180.0 | 360 | 1.8530 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 181.0 | 362 | 1.8455 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 182.0 | 364 | 1.8381 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 183.0 | 366 | 1.8519 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 184.0 | 368 | 1.8427 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 185.0 | 370 | 1.8438 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 186.0 | 372 | 1.8430 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 187.0 | 374 | 1.8598 | {'0': {'precision': 0.6086956521739131, 'recall': 0.6363636363636364, 'f1-score': 0.6222222222222222, 'support': 22.0}, '1': {'precision': 0.7419354838709677, 'recall': 0.71875, 'f1-score': 0.7301587301587301, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6753155680224404, 'recall': 0.6775568181818181, 'f1-score': 0.6761904761904762, 'support': 54.0}, 'weighted avg': {'precision': 0.6876525894758714, 'recall': 0.6851851851851852, 'f1-score': 0.6861845972957084, 'support': 54.0}} |
| No log | 188.0 | 376 | 1.8442 | {'0': {'precision': 0.6363636363636364, 'recall': 0.6363636363636364, 'f1-score': 0.6363636363636364, 'support': 22.0}, '1': {'precision': 0.75, 'recall': 0.75, 'f1-score': 0.75, 'support': 32.0}, 'accuracy': 0.7037037037037037, 'macro avg': {'precision': 0.6931818181818181, 'recall': 0.6931818181818181, 'f1-score': 0.6931818181818181, 'support': 54.0}, 'weighted avg': {'precision': 0.7037037037037037, 'recall': 0.7037037037037037, 'f1-score': 0.7037037037037037, 'support': 54.0}} |
| No log | 189.0 | 378 | 1.8466 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 190.0 | 380 | 1.8384 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 191.0 | 382 | 1.8523 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 192.0 | 384 | 1.8471 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 193.0 | 386 | 1.8426 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 194.0 | 388 | 1.8424 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 195.0 | 390 | 1.8432 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 196.0 | 392 | 1.8511 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 197.0 | 394 | 1.8382 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 198.0 | 396 | 1.8549 | {'0': {'precision': 0.5909090909090909, 'recall': 0.5909090909090909, 'f1-score': 0.5909090909090909, 'support': 22.0}, '1': {'precision': 0.71875, 'recall': 0.71875, 'f1-score': 0.71875, 'support': 32.0}, 'accuracy': 0.6666666666666666, 'macro avg': {'precision': 0.6548295454545454, 'recall': 0.6548295454545454, 'f1-score': 0.6548295454545454, 'support': 54.0}, 'weighted avg': {'precision': 0.6666666666666666, 'recall': 0.6666666666666666, 'f1-score': 0.6666666666666666, 'support': 54.0}} |
| No log | 199.0 | 398 | 1.8486 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
| No log | 200.0 | 400 | 1.8529 | {'0': {'precision': 0.6190476190476191, 'recall': 0.5909090909090909, 'f1-score': 0.6046511627906976, 'support': 22.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.75, 'f1-score': 0.7384615384615385, 'support': 32.0}, 'accuracy': 0.6851851851851852, 'macro avg': {'precision': 0.6731601731601732, 'recall': 0.6704545454545454, 'f1-score': 0.6715563506261181, 'support': 54.0}, 'weighted avg': {'precision': 0.6831810165143499, 'recall': 0.6851851851851852, 'f1-score': 0.6839462002252701, 'support': 54.0}} |
### Framework versions
- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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