llm-data-quality-classifer-compare
Browse files- .gitattributes +1 -0
- README.md +190 -0
- clean.sh +13 -0
- config.json +37 -0
- model.safetensors +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
.gitattributes
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
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| 2 |
+
license: mit
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| 3 |
+
base_model: FacebookAI/xlm-roberta-base
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| 4 |
+
tags:
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+
- generated_from_trainer
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+
metrics:
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- accuracy
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| 8 |
+
- precision
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| 9 |
+
- recall
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| 10 |
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- f1
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| 11 |
+
model-index:
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| 12 |
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- name: llm-data-quality-classifer-compare
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| 13 |
+
results: []
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| 14 |
+
---
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| 15 |
+
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| 16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 17 |
+
should probably proofread and complete it, then remove this comment. -->
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| 18 |
+
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| 19 |
+
# llm-data-quality-classifer-compare
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| 20 |
+
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| 21 |
+
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
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| 22 |
+
It achieves the following results on the evaluation set:
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| 23 |
+
- Loss: 0.2689
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| 24 |
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- Accuracy: 0.8833
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| 25 |
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- Precision: 0.7551
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| 26 |
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- Recall: 0.7598
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| 27 |
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- F1: 0.7574
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| 28 |
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| 29 |
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## Model description
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| 30 |
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| 31 |
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More information needed
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| 32 |
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| 33 |
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## Intended uses & limitations
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| 34 |
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| 35 |
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More information needed
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| 36 |
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| 37 |
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## Training and evaluation data
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| 38 |
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| 39 |
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More information needed
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## Training procedure
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| 42 |
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### Training hyperparameters
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| 44 |
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The following hyperparameters were used during training:
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| 46 |
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- learning_rate: 2e-05
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| 47 |
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- train_batch_size: 16
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| 48 |
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- eval_batch_size: 16
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| 49 |
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- seed: 42
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| 50 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 51 |
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- lr_scheduler_type: linear
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| 52 |
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- num_epochs: 1
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| 53 |
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| 54 |
+
### Training results
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| 55 |
+
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| 56 |
+
| Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss | Precision | Recall |
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| 57 |
+
|:-------------:|:-----:|:-----:|:--------:|:------:|:---------------:|:---------:|:------:|
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| 58 |
+
| 0.4745 | 0.01 | 500 | 0.8076 | 0.6181 | 0.4327 | 0.5898 | 0.6493 |
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| 59 |
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| 0.4088 | 0.02 | 1000 | 0.8346 | 0.5522 | 0.4287 | 0.7870 | 0.4254 |
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| 60 |
+
| 0.3811 | 0.02 | 1500 | 0.8286 | 0.6651 | 0.3741 | 0.6257 | 0.7098 |
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| 61 |
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| 0.3762 | 0.03 | 2000 | 0.85 | 0.6529 | 0.3413 | 0.7334 | 0.5884 |
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| 62 |
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| 0.3647 | 0.04 | 2500 | 0.8427 | 0.6632 | 0.3852 | 0.6815 | 0.6460 |
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| 63 |
+
| 0.3495 | 0.05 | 3000 | 0.8629 | 0.6987 | 0.3253 | 0.7385 | 0.6631 |
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| 64 |
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| 0.3508 | 0.06 | 3500 | 0.8335 | 0.6967 | 0.3605 | 0.6186 | 0.7973 |
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| 65 |
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| 0.3342 | 0.06 | 4000 | 0.8553 | 0.7075 | 0.3273 | 0.6865 | 0.7298 |
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| 66 |
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| 0.341 | 0.07 | 4500 | 0.8602 | 0.6679 | 0.3320 | 0.7759 | 0.5863 |
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| 67 |
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| 0.3344 | 0.08 | 5000 | 0.8531 | 0.6916 | 0.3441 | 0.6964 | 0.6868 |
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| 68 |
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| 0.3341 | 0.09 | 5500 | 0.8536 | 0.7027 | 0.3265 | 0.6849 | 0.7214 |
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| 69 |
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| 0.3319 | 0.1 | 6000 | 0.8599 | 0.7081 | 0.3266 | 0.7076 | 0.7085 |
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| 70 |
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| 0.3259 | 0.1 | 6500 | 0.8136 | 0.6907 | 0.3908 | 0.5736 | 0.8678 |
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| 71 |
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| 0.3391 | 0.11 | 7000 | 0.8642 | 0.6770 | 0.3338 | 0.7879 | 0.5934 |
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| 72 |
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| 0.3207 | 0.12 | 7500 | 0.8668 | 0.7224 | 0.3035 | 0.7221 | 0.7227 |
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| 73 |
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| 0.3191 | 0.13 | 8000 | 0.8543 | 0.7153 | 0.3179 | 0.6730 | 0.7631 |
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| 74 |
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| 0.3142 | 0.14 | 8500 | 0.8679 | 0.7052 | 0.3101 | 0.7585 | 0.6589 |
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| 75 |
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| 0.3195 | 0.14 | 9000 | 0.8636 | 0.7254 | 0.3433 | 0.7012 | 0.7515 |
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| 76 |
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| 0.3196 | 0.15 | 9500 | 0.8707 | 0.7191 | 0.3048 | 0.7506 | 0.6902 |
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| 77 |
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| 0.3176 | 0.16 | 10000 | 0.8597 | 0.7271 | 0.3177 | 0.6814 | 0.7794 |
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| 78 |
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| 0.3218 | 0.17 | 10500 | 0.8723 | 0.6993 | 0.3212 | 0.8031 | 0.6193 |
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| 79 |
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| 0.3175 | 0.18 | 11000 | 0.8601 | 0.7239 | 0.3366 | 0.6871 | 0.7648 |
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| 80 |
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| 0.3296 | 0.18 | 11500 | 0.8526 | 0.7190 | 0.3218 | 0.6622 | 0.7865 |
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| 81 |
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| 0.3249 | 0.19 | 12000 | 0.8731 | 0.7081 | 0.2926 | 0.7896 | 0.6418 |
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| 82 |
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| 0.3141 | 0.2 | 12500 | 0.8741 | 0.7215 | 0.3035 | 0.7683 | 0.6802 |
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| 83 |
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| 0.3126 | 0.21 | 13000 | 0.8659 | 0.7231 | 0.3127 | 0.7162 | 0.7302 |
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| 84 |
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| 0.3204 | 0.22 | 13500 | 0.8665 | 0.7233 | 0.3456 | 0.7190 | 0.7277 |
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| 85 |
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| 0.3108 | 0.22 | 14000 | 0.8674 | 0.7214 | 0.3018 | 0.7269 | 0.7160 |
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| 86 |
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| 0.3114 | 0.23 | 14500 | 0.8726 | 0.7016 | 0.2967 | 0.8002 | 0.6247 |
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| 87 |
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| 0.3071 | 0.24 | 15000 | 0.8768 | 0.7211 | 0.2904 | 0.7886 | 0.6643 |
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| 88 |
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| 0.2965 | 0.25 | 15500 | 0.8674 | 0.7310 | 0.3126 | 0.7117 | 0.7515 |
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| 89 |
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| 0.3022 | 0.26 | 16000 | 0.8738 | 0.7077 | 0.2887 | 0.7958 | 0.6372 |
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| 90 |
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| 0.3101 | 0.26 | 16500 | 0.8559 | 0.7251 | 0.3312 | 0.6683 | 0.7923 |
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| 91 |
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| 0.3154 | 0.27 | 17000 | 0.8575 | 0.7304 | 0.3221 | 0.6685 | 0.8048 |
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| 92 |
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| 0.3041 | 0.28 | 17500 | 0.8754 | 0.7248 | 0.2864 | 0.7704 | 0.6843 |
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| 93 |
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| 0.3093 | 0.29 | 18000 | 0.8603 | 0.7292 | 0.3101 | 0.6813 | 0.7844 |
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| 94 |
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| 0.3006 | 0.3 | 18500 | 0.8753 | 0.7111 | 0.3008 | 0.7999 | 0.6401 |
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| 95 |
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| 0.3108 | 0.3 | 19000 | 0.8689 | 0.7316 | 0.2911 | 0.7185 | 0.7452 |
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| 96 |
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| 0.3071 | 0.31 | 19500 | 0.8793 | 0.7366 | 0.2839 | 0.7725 | 0.7039 |
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| 97 |
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| 0.3002 | 0.32 | 20000 | 0.852 | 0.7239 | 0.3391 | 0.6550 | 0.8090 |
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| 98 |
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| 0.301 | 0.33 | 20500 | 0.8769 | 0.7396 | 0.2896 | 0.7505 | 0.7289 |
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| 99 |
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| 0.3075 | 0.34 | 21000 | 0.8785 | 0.7402 | 0.2891 | 0.7595 | 0.7219 |
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| 100 |
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| 0.2922 | 0.34 | 21500 | 0.8393 | 0.7164 | 0.4094 | 0.6210 | 0.8465 |
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| 101 |
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| 0.2973 | 0.35 | 22000 | 0.8787 | 0.7416 | 0.2962 | 0.7579 | 0.7260 |
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| 102 |
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| 0.2987 | 0.36 | 22500 | 0.8711 | 0.7430 | 0.2983 | 0.7119 | 0.7769 |
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| 103 |
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| 0.3071 | 0.37 | 23000 | 0.8739 | 0.7407 | 0.3167 | 0.7306 | 0.7510 |
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| 104 |
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| 0.2846 | 0.38 | 23500 | 0.8801 | 0.7401 | 0.2901 | 0.7707 | 0.7118 |
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| 105 |
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| 0.2924 | 0.38 | 24000 | 0.863 | 0.7299 | 0.3155 | 0.6922 | 0.7719 |
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| 106 |
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| 0.2938 | 0.39 | 24500 | 0.8724 | 0.7368 | 0.2973 | 0.7290 | 0.7448 |
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| 107 |
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| 0.2917 | 0.4 | 25000 | 0.8772 | 0.7436 | 0.2939 | 0.7446 | 0.7427 |
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| 108 |
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| 0.294 | 0.41 | 25500 | 0.8772 | 0.7394 | 0.2944 | 0.7528 | 0.7264 |
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| 109 |
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| 0.2979 | 0.42 | 26000 | 0.8774 | 0.7421 | 0.2819 | 0.7487 | 0.7356 |
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| 110 |
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| 0.2884 | 0.42 | 26500 | 0.873 | 0.7394 | 0.2932 | 0.7278 | 0.7515 |
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| 111 |
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| 0.2992 | 0.43 | 27000 | 0.8655 | 0.7419 | 0.3053 | 0.6872 | 0.8061 |
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| 112 |
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| 0.3018 | 0.44 | 27500 | 0.8788 | 0.7296 | 0.2781 | 0.7845 | 0.6818 |
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| 113 |
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| 0.305 | 0.45 | 28000 | 0.8785 | 0.7408 | 0.2760 | 0.7584 | 0.7239 |
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| 114 |
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| 0.2918 | 0.46 | 28500 | 0.8788 | 0.7381 | 0.2826 | 0.7659 | 0.7123 |
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| 115 |
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| 0.2998 | 0.46 | 29000 | 0.874 | 0.7403 | 0.2893 | 0.7319 | 0.7490 |
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| 116 |
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| 0.2875 | 0.47 | 29500 | 0.8803 | 0.7422 | 0.2891 | 0.7675 | 0.7185 |
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| 117 |
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| 0.2946 | 0.48 | 30000 | 0.2781 | 0.8798 | 0.7415 | 0.7656 | 0.7534 |
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| 118 |
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| 0.2907 | 0.49 | 30500 | 0.2860 | 0.8752 | 0.7280 | 0.7656 | 0.7463 |
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| 119 |
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| 0.2981 | 0.5 | 31000 | 0.3012 | 0.8732 | 0.7276 | 0.7531 | 0.7402 |
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| 120 |
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| 0.2948 | 0.5 | 31500 | 0.2777 | 0.8792 | 0.7894 | 0.6768 | 0.7288 |
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| 121 |
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| 0.2933 | 0.51 | 32000 | 0.2839 | 0.8773 | 0.7428 | 0.7469 | 0.7449 |
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| 122 |
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| 0.2891 | 0.52 | 32500 | 0.2774 | 0.8795 | 0.7678 | 0.7131 | 0.7395 |
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| 123 |
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| 0.2869 | 0.53 | 33000 | 0.2790 | 0.8764 | 0.7405 | 0.7460 | 0.7432 |
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| 124 |
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| 0.2907 | 0.54 | 33500 | 0.2889 | 0.8764 | 0.7580 | 0.7118 | 0.7342 |
|
| 125 |
+
| 0.2912 | 0.54 | 34000 | 0.2887 | 0.8807 | 0.7464 | 0.7611 | 0.7537 |
|
| 126 |
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| 0.283 | 0.55 | 34500 | 0.2754 | 0.8816 | 0.7847 | 0.6977 | 0.7386 |
|
| 127 |
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| 0.2877 | 0.56 | 35000 | 0.3036 | 0.8727 | 0.7221 | 0.7627 | 0.7418 |
|
| 128 |
+
| 0.2923 | 0.57 | 35500 | 0.2853 | 0.8783 | 0.7693 | 0.7035 | 0.7349 |
|
| 129 |
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| 0.2902 | 0.58 | 36000 | 0.2881 | 0.8772 | 0.7462 | 0.7394 | 0.7428 |
|
| 130 |
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| 0.2863 | 0.58 | 36500 | 0.2886 | 0.8768 | 0.7303 | 0.7711 | 0.7501 |
|
| 131 |
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| 0.2837 | 0.59 | 37000 | 0.2753 | 0.8801 | 0.7503 | 0.7494 | 0.7498 |
|
| 132 |
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| 0.3021 | 0.6 | 37500 | 0.2848 | 0.8775 | 0.7330 | 0.7694 | 0.7508 |
|
| 133 |
+
| 0.291 | 0.61 | 38000 | 0.2793 | 0.88 | 0.7423 | 0.7652 | 0.7536 |
|
| 134 |
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| 0.2821 | 0.62 | 38500 | 0.2867 | 0.88 | 0.7429 | 0.7640 | 0.7533 |
|
| 135 |
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| 0.2867 | 0.62 | 39000 | 0.2851 | 0.8796 | 0.7367 | 0.7748 | 0.7553 |
|
| 136 |
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| 0.2846 | 0.63 | 39500 | 0.2813 | 0.8828 | 0.7661 | 0.7360 | 0.7507 |
|
| 137 |
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| 0.2836 | 0.64 | 40000 | 0.2842 | 0.8793 | 0.7406 | 0.7644 | 0.7523 |
|
| 138 |
+
| 0.2835 | 0.65 | 40500 | 0.2797 | 0.8792 | 0.7382 | 0.7690 | 0.7533 |
|
| 139 |
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| 0.2833 | 0.66 | 41000 | 0.2763 | 0.8821 | 0.7895 | 0.6931 | 0.7382 |
|
| 140 |
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| 0.2743 | 0.66 | 41500 | 0.2852 | 0.8833 | 0.7717 | 0.7289 | 0.7497 |
|
| 141 |
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| 0.2921 | 0.67 | 42000 | 0.2780 | 0.8791 | 0.7561 | 0.7319 | 0.7438 |
|
| 142 |
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| 0.279 | 0.68 | 42500 | 0.2759 | 0.8827 | 0.7882 | 0.6985 | 0.7407 |
|
| 143 |
+
| 0.2752 | 0.69 | 43000 | 0.2795 | 0.8796 | 0.7642 | 0.7202 | 0.7415 |
|
| 144 |
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| 0.2902 | 0.7 | 43500 | 0.2735 | 0.8809 | 0.7824 | 0.6972 | 0.7374 |
|
| 145 |
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| 0.2832 | 0.7 | 44000 | 0.2742 | 0.8815 | 0.7690 | 0.7231 | 0.7453 |
|
| 146 |
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| 0.2783 | 0.71 | 44500 | 0.2773 | 0.8815 | 0.7692 | 0.7227 | 0.7452 |
|
| 147 |
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| 0.2879 | 0.72 | 45000 | 0.2716 | 0.8838 | 0.7766 | 0.7235 | 0.7491 |
|
| 148 |
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| 0.2898 | 0.73 | 45500 | 0.2728 | 0.8804 | 0.7513 | 0.7494 | 0.7503 |
|
| 149 |
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| 0.2771 | 0.74 | 46000 | 0.2795 | 0.877 | 0.7370 | 0.7573 | 0.7470 |
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| 150 |
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| 0.2743 | 0.74 | 46500 | 0.2833 | 0.8707 | 0.7013 | 0.8028 | 0.7486 |
|
| 151 |
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| 0.2868 | 0.75 | 47000 | 0.2719 | 0.8821 | 0.7575 | 0.7477 | 0.7526 |
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| 152 |
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| 0.2771 | 0.76 | 47500 | 0.2784 | 0.8833 | 0.7636 | 0.7435 | 0.7534 |
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| 153 |
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| 0.2824 | 0.77 | 48000 | 0.2778 | 0.8772 | 0.7291 | 0.7765 | 0.7520 |
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| 154 |
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| 0.2819 | 0.78 | 48500 | 0.2772 | 0.8825 | 0.7532 | 0.7585 | 0.7559 |
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| 155 |
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| 0.2781 | 0.78 | 49000 | 0.2747 | 0.881 | 0.7502 | 0.7552 | 0.7527 |
|
| 156 |
+
| 0.2844 | 0.79 | 49500 | 0.2877 | 0.8762 | 0.7215 | 0.7877 | 0.7532 |
|
| 157 |
+
| 0.2732 | 0.8 | 50000 | 0.2738 | 0.8809 | 0.7511 | 0.7527 | 0.7519 |
|
| 158 |
+
| 0.2681 | 0.81 | 50500 | 0.2832 | 0.8761 | 0.7191 | 0.7932 | 0.7543 |
|
| 159 |
+
| 0.2795 | 0.82 | 51000 | 0.2755 | 0.8856 | 0.7876 | 0.7160 | 0.7501 |
|
| 160 |
+
| 0.2649 | 0.82 | 51500 | 0.2797 | 0.8805 | 0.7360 | 0.7823 | 0.7584 |
|
| 161 |
+
| 0.2776 | 0.83 | 52000 | 0.2671 | 0.8833 | 0.7627 | 0.7452 | 0.7538 |
|
| 162 |
+
| 0.2762 | 0.84 | 52500 | 0.2745 | 0.8812 | 0.7416 | 0.7744 | 0.7576 |
|
| 163 |
+
| 0.2803 | 0.85 | 53000 | 0.2766 | 0.8847 | 0.7694 | 0.7415 | 0.7551 |
|
| 164 |
+
| 0.2675 | 0.86 | 53500 | 0.2742 | 0.8785 | 0.7392 | 0.7623 | 0.7506 |
|
| 165 |
+
| 0.2725 | 0.86 | 54000 | 0.2720 | 0.8826 | 0.7576 | 0.7506 | 0.7541 |
|
| 166 |
+
| 0.2693 | 0.87 | 54500 | 0.2739 | 0.8836 | 0.7650 | 0.7427 | 0.7537 |
|
| 167 |
+
| 0.2745 | 0.88 | 55000 | 0.2751 | 0.8792 | 0.7348 | 0.7765 | 0.7551 |
|
| 168 |
+
| 0.273 | 0.89 | 55500 | 0.2762 | 0.8812 | 0.7388 | 0.7807 | 0.7591 |
|
| 169 |
+
| 0.2645 | 0.9 | 56000 | 0.2664 | 0.8828 | 0.7647 | 0.7385 | 0.7514 |
|
| 170 |
+
| 0.2698 | 0.9 | 56500 | 0.2728 | 0.8814 | 0.7467 | 0.7648 | 0.7557 |
|
| 171 |
+
| 0.2771 | 0.91 | 57000 | 0.2681 | 0.8839 | 0.7635 | 0.7473 | 0.7553 |
|
| 172 |
+
| 0.2663 | 0.92 | 57500 | 0.2715 | 0.885 | 0.7617 | 0.7573 | 0.7595 |
|
| 173 |
+
| 0.2546 | 0.93 | 58000 | 0.2836 | 0.8796 | 0.7323 | 0.7848 | 0.7576 |
|
| 174 |
+
| 0.2752 | 0.94 | 58500 | 0.2747 | 0.8801 | 0.7363 | 0.7790 | 0.7570 |
|
| 175 |
+
| 0.2645 | 0.94 | 59000 | 0.2733 | 0.8834 | 0.7484 | 0.7740 | 0.7610 |
|
| 176 |
+
| 0.2561 | 0.95 | 59500 | 0.2765 | 0.8828 | 0.7508 | 0.7652 | 0.7580 |
|
| 177 |
+
| 0.2753 | 0.96 | 60000 | 0.2721 | 0.8815 | 0.7483 | 0.7623 | 0.7552 |
|
| 178 |
+
| 0.251 | 0.97 | 60500 | 0.2735 | 0.8822 | 0.7546 | 0.7540 | 0.7543 |
|
| 179 |
+
| 0.2742 | 0.98 | 61000 | 0.2721 | 0.8831 | 0.7497 | 0.7694 | 0.7594 |
|
| 180 |
+
| 0.2734 | 0.98 | 61500 | 0.2712 | 0.8836 | 0.7512 | 0.7694 | 0.7602 |
|
| 181 |
+
| 0.2713 | 0.99 | 62000 | 0.2690 | 0.8836 | 0.7556 | 0.7606 | 0.7581 |
|
| 182 |
+
| 0.2764 | 1.0 | 62500 | 0.2689 | 0.8833 | 0.7551 | 0.7598 | 0.7574 |
|
| 183 |
+
|
| 184 |
+
|
| 185 |
+
### Framework versions
|
| 186 |
+
|
| 187 |
+
- Transformers 4.35.2
|
| 188 |
+
- Pytorch 2.1.0+cu121
|
| 189 |
+
- Datasets 2.16.1
|
| 190 |
+
- Tokenizers 0.15.0
|
clean.sh
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
|
| 3 |
+
while true
|
| 4 |
+
do
|
| 5 |
+
latest_folder=$(ls -td */ | head -n 1)
|
| 6 |
+
|
| 7 |
+
for folder in */; do
|
| 8 |
+
if [ $folder != $latest_folder ]; then
|
| 9 |
+
rm -rf $folder
|
| 10 |
+
fi
|
| 11 |
+
done
|
| 12 |
+
sleep 300
|
| 13 |
+
done
|
config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "FacebookAI/xlm-roberta-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"XLMRobertaForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": "LOW_QUALITY",
|
| 15 |
+
"1": "HIGH_QUALITY"
|
| 16 |
+
},
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
"intermediate_size": 3072,
|
| 19 |
+
"label2id": {
|
| 20 |
+
"HIGH_QUALITY": 1,
|
| 21 |
+
"LOW_QUALITY": 0
|
| 22 |
+
},
|
| 23 |
+
"layer_norm_eps": 1e-05,
|
| 24 |
+
"max_position_embeddings": 514,
|
| 25 |
+
"model_type": "xlm-roberta",
|
| 26 |
+
"num_attention_heads": 12,
|
| 27 |
+
"num_hidden_layers": 12,
|
| 28 |
+
"output_past": true,
|
| 29 |
+
"pad_token_id": 1,
|
| 30 |
+
"position_embedding_type": "absolute",
|
| 31 |
+
"problem_type": "single_label_classification",
|
| 32 |
+
"torch_dtype": "float32",
|
| 33 |
+
"transformers_version": "4.35.2",
|
| 34 |
+
"type_vocab_size": 1,
|
| 35 |
+
"use_cache": true,
|
| 36 |
+
"vocab_size": 250002
|
| 37 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c21bc93eddd5137e9f31a174992fdf88488fe42d327307374becd75f5a2cf957
|
| 3 |
+
size 1112205008
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"cls_token": "<s>",
|
| 4 |
+
"eos_token": "</s>",
|
| 5 |
+
"mask_token": {
|
| 6 |
+
"content": "<mask>",
|
| 7 |
+
"lstrip": true,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false
|
| 11 |
+
},
|
| 12 |
+
"pad_token": "<pad>",
|
| 13 |
+
"sep_token": "</s>",
|
| 14 |
+
"unk_token": "<unk>"
|
| 15 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af
|
| 3 |
+
size 17082756
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"250001": {
|
| 36 |
+
"content": "<mask>",
|
| 37 |
+
"lstrip": true,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "<s>",
|
| 45 |
+
"clean_up_tokenization_spaces": true,
|
| 46 |
+
"cls_token": "<s>",
|
| 47 |
+
"eos_token": "</s>",
|
| 48 |
+
"mask_token": "<mask>",
|
| 49 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 50 |
+
"pad_token": "<pad>",
|
| 51 |
+
"sep_token": "</s>",
|
| 52 |
+
"tokenizer_class": "XLMRobertaTokenizer",
|
| 53 |
+
"unk_token": "<unk>"
|
| 54 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:461eceda6e62c2a48a22f3cd4244c5dfa46152589186f42e55d64de22c2539ab
|
| 3 |
+
size 4600
|