End of training
Browse files- README.md +118 -0
- config.json +45 -0
- logs/events.out.tfevents.1709719627.1226-074726-p8x9rxlv-10-104-123-10.16312.0 +3 -0
- logs/events.out.tfevents.1709802796.1226-074726-p8x9rxlv-10-104-123-10.16312.1 +3 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +78 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
ADDED
|
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: SCUT-DLVCLab/lilt-roberta-en-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
model-index:
|
| 7 |
+
- name: lilt_test
|
| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
# lilt_test
|
| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [SCUT-DLVCLab/lilt-roberta-en-base](https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base) on the None dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.0492
|
| 19 |
+
- Escription: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 85}
|
| 20 |
+
- Otalprice: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 81}
|
| 21 |
+
- Rice: {'precision': 0.9166666666666666, 'recall': 0.9166666666666666, 'f1': 0.9166666666666666, 'number': 24}
|
| 22 |
+
- Roductcode: {'precision': 0.9583333333333334, 'recall': 0.8846153846153846, 'f1': 0.9199999999999999, 'number': 26}
|
| 23 |
+
- Uantity: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50}
|
| 24 |
+
- Uantityunit: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 33}
|
| 25 |
+
- Overall Precision: 0.9899
|
| 26 |
+
- Overall Recall: 0.9833
|
| 27 |
+
- Overall F1: 0.9866
|
| 28 |
+
- Overall Accuracy: 0.9931
|
| 29 |
+
|
| 30 |
+
## Model description
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Intended uses & limitations
|
| 35 |
+
|
| 36 |
+
More information needed
|
| 37 |
+
|
| 38 |
+
## Training and evaluation data
|
| 39 |
+
|
| 40 |
+
More information needed
|
| 41 |
+
|
| 42 |
+
## Training procedure
|
| 43 |
+
|
| 44 |
+
### Training hyperparameters
|
| 45 |
+
|
| 46 |
+
The following hyperparameters were used during training:
|
| 47 |
+
- learning_rate: 5e-05
|
| 48 |
+
- train_batch_size: 8
|
| 49 |
+
- eval_batch_size: 8
|
| 50 |
+
- seed: 42
|
| 51 |
+
- distributed_type: multi-GPU
|
| 52 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 53 |
+
- lr_scheduler_type: linear
|
| 54 |
+
- training_steps: 10000
|
| 55 |
+
- mixed_precision_training: Native AMP
|
| 56 |
+
|
| 57 |
+
### Training results
|
| 58 |
+
|
| 59 |
+
| Training Loss | Epoch | Step | Validation Loss | Escription | Otalprice | Rice | Roductcode | Uantity | Uantityunit | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|
| 60 |
+
|:-------------:|:------:|:-----:|:---------------:|:-------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
|
| 61 |
+
| 0.074 | 20.0 | 200 | 0.0492 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 85} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 81} | {'precision': 0.9166666666666666, 'recall': 0.9166666666666666, 'f1': 0.9166666666666666, 'number': 24} | {'precision': 0.9583333333333334, 'recall': 0.8846153846153846, 'f1': 0.9199999999999999, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 33} | 0.9899 | 0.9833 | 0.9866 | 0.9931 |
|
| 62 |
+
| 0.0008 | 40.0 | 400 | 0.1160 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 81} | {'precision': 0.9166666666666666, 'recall': 0.9166666666666666, 'f1': 0.9166666666666666, 'number': 24} | {'precision': 0.9583333333333334, 'recall': 0.8846153846153846, 'f1': 0.9199999999999999, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9865 | 0.9799 | 0.9832 | 0.9862 |
|
| 63 |
+
| 0.0001 | 60.0 | 600 | 0.1192 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 81} | {'precision': 0.9166666666666666, 'recall': 0.9166666666666666, 'f1': 0.9166666666666666, 'number': 24} | {'precision': 0.9583333333333334, 'recall': 0.8846153846153846, 'f1': 0.9199999999999999, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9865 | 0.9799 | 0.9832 | 0.9862 |
|
| 64 |
+
| 0.0027 | 80.0 | 800 | 0.0837 | {'precision': 0.9880952380952381, 'recall': 0.9764705882352941, 'f1': 0.9822485207100591, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.9545454545454546, 'recall': 0.875, 'f1': 0.9130434782608695, 'number': 24} | {'precision': 0.9130434782608695, 'recall': 0.8076923076923077, 'f1': 0.8571428571428572, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9797 | 0.9666 | 0.9731 | 0.9817 |
|
| 65 |
+
| 0.0086 | 100.0 | 1000 | 0.1068 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 81} | {'precision': 1.0, 'recall': 0.875, 'f1': 0.9333333333333333, 'number': 24} | {'precision': 0.8846153846153846, 'recall': 0.8846153846153846, 'f1': 0.8846153846153846, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9865 | 0.9766 | 0.9815 | 0.9862 |
|
| 66 |
+
| 0.0045 | 120.0 | 1200 | 0.1645 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 1.0, 'recall': 0.6666666666666666, 'f1': 0.8, 'number': 24} | {'precision': 0.6666666666666666, 'recall': 0.6153846153846154, 'f1': 0.64, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 33} | 0.9655 | 0.9365 | 0.9508 | 0.9771 |
|
| 67 |
+
| 0.001 | 140.0 | 1400 | 0.0974 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.9411764705882353, 'recall': 0.6666666666666666, 'f1': 0.7804878048780487, 'number': 24} | {'precision': 0.7083333333333334, 'recall': 0.6538461538461539, 'f1': 0.68, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 33} | 0.9691 | 0.9431 | 0.9559 | 0.9794 |
|
| 68 |
+
| 0.0 | 160.0 | 1600 | 0.0943 | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.9411764705882353, 'recall': 0.6666666666666666, 'f1': 0.7804878048780487, 'number': 24} | {'precision': 0.7083333333333334, 'recall': 0.6538461538461539, 'f1': 0.68, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 33} | 0.9691 | 0.9431 | 0.9559 | 0.9794 |
|
| 69 |
+
| 0.0018 | 180.0 | 1800 | 0.1542 | {'precision': 0.9880952380952381, 'recall': 0.9764705882352941, 'f1': 0.9822485207100591, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.9545454545454546, 'recall': 0.875, 'f1': 0.9130434782608695, 'number': 24} | {'precision': 0.9130434782608695, 'recall': 0.8076923076923077, 'f1': 0.8571428571428572, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9797 | 0.9666 | 0.9731 | 0.9817 |
|
| 70 |
+
| 0.0011 | 200.0 | 2000 | 0.1013 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 1.0, 'recall': 0.875, 'f1': 0.9333333333333333, 'number': 24} | {'precision': 0.8461538461538461, 'recall': 0.8461538461538461, 'f1': 0.8461538461538461, 'number': 26} | {'precision': 1.0, 'recall': 0.98, 'f1': 0.98989898989899, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9764 | 0.9699 | 0.9732 | 0.9839 |
|
| 71 |
+
| 0.0001 | 220.0 | 2200 | 0.1542 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 1.0, 'recall': 0.875, 'f1': 0.9333333333333333, 'number': 24} | {'precision': 0.8461538461538461, 'recall': 0.8461538461538461, 'f1': 0.8461538461538461, 'number': 26} | {'precision': 1.0, 'recall': 0.98, 'f1': 0.98989898989899, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9797 | 0.9699 | 0.9748 | 0.9817 |
|
| 72 |
+
| 0.0 | 240.0 | 2400 | 0.1538 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 1.0, 'recall': 0.875, 'f1': 0.9333333333333333, 'number': 24} | {'precision': 0.8461538461538461, 'recall': 0.8461538461538461, 'f1': 0.8461538461538461, 'number': 26} | {'precision': 1.0, 'recall': 0.98, 'f1': 0.98989898989899, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9797 | 0.9699 | 0.9748 | 0.9817 |
|
| 73 |
+
| 0.0 | 260.0 | 2600 | 0.1524 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 1.0, 'recall': 0.875, 'f1': 0.9333333333333333, 'number': 24} | {'precision': 0.8461538461538461, 'recall': 0.8461538461538461, 'f1': 0.8461538461538461, 'number': 26} | {'precision': 1.0, 'recall': 0.98, 'f1': 0.98989898989899, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9797 | 0.9699 | 0.9748 | 0.9817 |
|
| 74 |
+
| 0.0026 | 280.0 | 2800 | 0.1282 | {'precision': 0.9880952380952381, 'recall': 0.9764705882352941, 'f1': 0.9822485207100591, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 1.0, 'recall': 0.9166666666666666, 'f1': 0.9565217391304348, 'number': 24} | {'precision': 0.9166666666666666, 'recall': 0.8461538461538461, 'f1': 0.8799999999999999, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9831 | 0.9732 | 0.9782 | 0.9839 |
|
| 75 |
+
| 0.001 | 300.0 | 3000 | 0.2031 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.8888888888888888, 'recall': 0.6666666666666666, 'f1': 0.761904761904762, 'number': 24} | {'precision': 0.7083333333333334, 'recall': 0.6538461538461539, 'f1': 0.68, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9702 |
|
| 76 |
+
| 0.0017 | 320.0 | 3200 | 0.1353 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9512195121951219, 'recall': 0.9629629629629629, 'f1': 0.9570552147239264, 'number': 81} | {'precision': 0.9565217391304348, 'recall': 0.9166666666666666, 'f1': 0.9361702127659574, 'number': 24} | {'precision': 0.9523809523809523, 'recall': 0.7692307692307693, 'f1': 0.8510638297872339, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9729 | 0.9599 | 0.9663 | 0.9817 |
|
| 77 |
+
| 0.0 | 340.0 | 3400 | 0.1401 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9397590361445783, 'recall': 0.9629629629629629, 'f1': 0.9512195121951219, 'number': 81} | {'precision': 1.0, 'recall': 0.9583333333333334, 'f1': 0.9787234042553191, 'number': 24} | {'precision': 0.9523809523809523, 'recall': 0.7692307692307693, 'f1': 0.8510638297872339, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9730 | 0.9632 | 0.9681 | 0.9817 |
|
| 78 |
+
| 0.002 | 360.0 | 3600 | 0.2422 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.8260869565217391, 'recall': 0.7307692307692307, 'f1': 0.7755102040816326, 'number': 26} | {'precision': 0.98, 'recall': 0.98, 'f1': 0.98, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9693 | 0.9498 | 0.9595 | 0.9748 |
|
| 79 |
+
| 0.0 | 380.0 | 3800 | 0.2453 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.8260869565217391, 'recall': 0.7307692307692307, 'f1': 0.7755102040816326, 'number': 26} | {'precision': 0.98, 'recall': 0.98, 'f1': 0.98, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9693 | 0.9498 | 0.9595 | 0.9748 |
|
| 80 |
+
| 0.0 | 400.0 | 4000 | 0.2474 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.8947368421052632, 'recall': 0.7083333333333334, 'f1': 0.7906976744186046, 'number': 24} | {'precision': 0.782608695652174, 'recall': 0.6923076923076923, 'f1': 0.7346938775510203, 'number': 26} | {'precision': 0.98, 'recall': 0.98, 'f1': 0.98, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9658 | 0.9431 | 0.9543 | 0.9725 |
|
| 81 |
+
| 0.0 | 420.0 | 4200 | 0.2495 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.8947368421052632, 'recall': 0.7083333333333334, 'f1': 0.7906976744186046, 'number': 24} | {'precision': 0.782608695652174, 'recall': 0.6923076923076923, 'f1': 0.7346938775510203, 'number': 26} | {'precision': 0.98, 'recall': 0.98, 'f1': 0.98, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9658 | 0.9431 | 0.9543 | 0.9725 |
|
| 82 |
+
| 0.0 | 440.0 | 4400 | 0.2512 | {'precision': 1.0, 'recall': 0.9882352941176471, 'f1': 0.9940828402366864, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.8947368421052632, 'recall': 0.7083333333333334, 'f1': 0.7906976744186046, 'number': 24} | {'precision': 0.782608695652174, 'recall': 0.6923076923076923, 'f1': 0.7346938775510203, 'number': 26} | {'precision': 0.98, 'recall': 0.98, 'f1': 0.98, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9658 | 0.9431 | 0.9543 | 0.9725 |
|
| 83 |
+
| 0.0021 | 460.0 | 4600 | 0.2683 | {'precision': 0.9880952380952381, 'recall': 0.9764705882352941, 'f1': 0.9822485207100591, 'number': 85} | {'precision': 0.9878048780487805, 'recall': 1.0, 'f1': 0.9938650306748467, 'number': 81} | {'precision': 0.9411764705882353, 'recall': 0.6666666666666666, 'f1': 0.7804878048780487, 'number': 24} | {'precision': 0.6956521739130435, 'recall': 0.6153846153846154, 'f1': 0.6530612244897959, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9621 | 0.9331 | 0.9474 | 0.9702 |
|
| 84 |
+
| 0.0079 | 480.0 | 4800 | 0.1975 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9634146341463414, 'recall': 0.9753086419753086, 'f1': 0.9693251533742332, 'number': 81} | {'precision': 0.9047619047619048, 'recall': 0.7916666666666666, 'f1': 0.8444444444444444, 'number': 24} | {'precision': 0.8095238095238095, 'recall': 0.6538461538461539, 'f1': 0.7234042553191489, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9625 | 0.9431 | 0.9527 | 0.9771 |
|
| 85 |
+
| 0.0002 | 500.0 | 5000 | 0.2223 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 86 |
+
| 0.0 | 520.0 | 5200 | 0.2291 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 87 |
+
| 0.0 | 540.0 | 5400 | 0.2333 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 88 |
+
| 0.0 | 560.0 | 5600 | 0.2363 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 89 |
+
| 0.0 | 580.0 | 5800 | 0.2390 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 90 |
+
| 0.0 | 600.0 | 6000 | 0.2415 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 91 |
+
| 0.0 | 620.0 | 6200 | 0.2435 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 92 |
+
| 0.0 | 640.0 | 6400 | 0.2454 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 93 |
+
| 0.0 | 660.0 | 6600 | 0.2472 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 94 |
+
| 0.0 | 680.0 | 6800 | 0.2486 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 95 |
+
| 0.0 | 700.0 | 7000 | 0.2501 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 96 |
+
| 0.0 | 720.0 | 7200 | 0.2513 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 97 |
+
| 0.0 | 740.0 | 7400 | 0.2526 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 98 |
+
| 0.0 | 760.0 | 7600 | 0.2539 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 99 |
+
| 0.0 | 780.0 | 7800 | 0.2549 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 100 |
+
| 0.0 | 800.0 | 8000 | 0.2558 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 101 |
+
| 0.0 | 820.0 | 8200 | 0.2568 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 102 |
+
| 0.0 | 840.0 | 8400 | 0.2575 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 103 |
+
| 0.0 | 860.0 | 8600 | 0.2581 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 104 |
+
| 0.0 | 880.0 | 8800 | 0.2589 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 105 |
+
| 0.0 | 900.0 | 9000 | 0.2594 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 106 |
+
| 0.0 | 920.0 | 9200 | 0.2600 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 107 |
+
| 0.0 | 940.0 | 9400 | 0.2606 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 108 |
+
| 0.0 | 960.0 | 9600 | 0.2608 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9753086419753086, 'recall': 0.9753086419753086, 'f1': 0.9753086419753086, 'number': 81} | {'precision': 0.9, 'recall': 0.75, 'f1': 0.8181818181818182, 'number': 24} | {'precision': 0.7727272727272727, 'recall': 0.6538461538461539, 'f1': 0.7083333333333333, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 109 |
+
| 0.0 | 980.0 | 9800 | 0.2483 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9876543209876543, 'recall': 0.9876543209876543, 'f1': 0.9876543209876543, 'number': 81} | {'precision': 0.8947368421052632, 'recall': 0.7083333333333334, 'f1': 0.7906976744186046, 'number': 24} | {'precision': 0.7391304347826086, 'recall': 0.6538461538461539, 'f1': 0.693877551020408, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 110 |
+
| 0.0 | 1000.0 | 10000 | 0.2488 | {'precision': 0.9882352941176471, 'recall': 0.9882352941176471, 'f1': 0.9882352941176471, 'number': 85} | {'precision': 0.9876543209876543, 'recall': 0.9876543209876543, 'f1': 0.9876543209876543, 'number': 81} | {'precision': 0.8947368421052632, 'recall': 0.7083333333333334, 'f1': 0.7906976744186046, 'number': 24} | {'precision': 0.7391304347826086, 'recall': 0.6538461538461539, 'f1': 0.693877551020408, 'number': 26} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 50} | {'precision': 0.9705882352941176, 'recall': 1.0, 'f1': 0.9850746268656716, 'number': 33} | 0.9623 | 0.9398 | 0.9509 | 0.9771 |
|
| 111 |
+
|
| 112 |
+
|
| 113 |
+
### Framework versions
|
| 114 |
+
|
| 115 |
+
- Transformers 4.38.2
|
| 116 |
+
- Pytorch 2.0.1+cu118
|
| 117 |
+
- Datasets 2.18.0
|
| 118 |
+
- Tokenizers 0.15.2
|
config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "SCUT-DLVCLab/lilt-roberta-en-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LiltForTokenClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"channel_shrink_ratio": 4,
|
| 9 |
+
"classifier_dropout": null,
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"hidden_act": "gelu",
|
| 12 |
+
"hidden_dropout_prob": 0.1,
|
| 13 |
+
"hidden_size": 768,
|
| 14 |
+
"id2label": {
|
| 15 |
+
"0": "Quantity",
|
| 16 |
+
"1": "Description",
|
| 17 |
+
"2": "TotalPrice",
|
| 18 |
+
"3": "Price",
|
| 19 |
+
"4": "ProductCode",
|
| 20 |
+
"5": "QuantityUnit"
|
| 21 |
+
},
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 3072,
|
| 24 |
+
"label2id": {
|
| 25 |
+
"Description": 1,
|
| 26 |
+
"Price": 3,
|
| 27 |
+
"ProductCode": 4,
|
| 28 |
+
"Quantity": 0,
|
| 29 |
+
"QuantityUnit": 5,
|
| 30 |
+
"TotalPrice": 2
|
| 31 |
+
},
|
| 32 |
+
"layer_norm_eps": 1e-05,
|
| 33 |
+
"max_2d_position_embeddings": 1024,
|
| 34 |
+
"max_position_embeddings": 514,
|
| 35 |
+
"model_type": "lilt",
|
| 36 |
+
"num_attention_heads": 12,
|
| 37 |
+
"num_hidden_layers": 12,
|
| 38 |
+
"pad_token_id": 1,
|
| 39 |
+
"position_embedding_type": "absolute",
|
| 40 |
+
"torch_dtype": "float32",
|
| 41 |
+
"transformers_version": "4.38.2",
|
| 42 |
+
"type_vocab_size": 1,
|
| 43 |
+
"use_cache": true,
|
| 44 |
+
"vocab_size": 50265
|
| 45 |
+
}
|
logs/events.out.tfevents.1709719627.1226-074726-p8x9rxlv-10-104-123-10.16312.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b1a89298d7b5bb24995a283ead58a48b46baa4dc6bce207beb49be00670d009
|
| 3 |
+
size 41032
|
logs/events.out.tfevents.1709802796.1226-074726-p8x9rxlv-10-104-123-10.16312.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fb72d1f1db14f3e7343c07bfaf04edfd87fdd4ed835a38b504a6cf768afe1f0b
|
| 3 |
+
size 592
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87f7f23343d4bad730693fe911e8a85bc41f8abfecf8487ea20f0b25c056daf0
|
| 3 |
+
size 520724488
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"apply_ocr": true,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.5,
|
| 8 |
+
0.5,
|
| 9 |
+
0.5
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "LayoutLMv3FeatureExtractor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.5,
|
| 14 |
+
0.5,
|
| 15 |
+
0.5
|
| 16 |
+
],
|
| 17 |
+
"ocr_lang": null,
|
| 18 |
+
"processor_class": "LayoutLMv3Processor",
|
| 19 |
+
"resample": 2,
|
| 20 |
+
"rescale_factor": 0.00392156862745098,
|
| 21 |
+
"size": {
|
| 22 |
+
"height": 224,
|
| 23 |
+
"width": 224
|
| 24 |
+
},
|
| 25 |
+
"tesseract_config": ""
|
| 26 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": true,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": true,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": true,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<pad>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "</s>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"50264": {
|
| 37 |
+
"content": "<mask>",
|
| 38 |
+
"lstrip": true,
|
| 39 |
+
"normalized": true,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"clean_up_tokenization_spaces": true,
|
| 47 |
+
"cls_token": "<s>",
|
| 48 |
+
"cls_token_box": [
|
| 49 |
+
0,
|
| 50 |
+
0,
|
| 51 |
+
0,
|
| 52 |
+
0
|
| 53 |
+
],
|
| 54 |
+
"eos_token": "</s>",
|
| 55 |
+
"errors": "replace",
|
| 56 |
+
"mask_token": "<mask>",
|
| 57 |
+
"model_max_length": 512,
|
| 58 |
+
"only_label_first_subword": true,
|
| 59 |
+
"pad_token": "<pad>",
|
| 60 |
+
"pad_token_box": [
|
| 61 |
+
0,
|
| 62 |
+
0,
|
| 63 |
+
0,
|
| 64 |
+
0
|
| 65 |
+
],
|
| 66 |
+
"pad_token_label": -100,
|
| 67 |
+
"processor_class": "LayoutLMv3Processor",
|
| 68 |
+
"sep_token": "</s>",
|
| 69 |
+
"sep_token_box": [
|
| 70 |
+
0,
|
| 71 |
+
0,
|
| 72 |
+
0,
|
| 73 |
+
0
|
| 74 |
+
],
|
| 75 |
+
"tokenizer_class": "LayoutLMv3Tokenizer",
|
| 76 |
+
"trim_offsets": true,
|
| 77 |
+
"unk_token": "<unk>"
|
| 78 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:115921b0f71388b0adcfb30db19e8c0aed95740c7e4f9a5c123c2d475c4fbf6c
|
| 3 |
+
size 4411
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|