climate_verfication_model
Browse files- README.md +182 -146
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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metrics:
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model-index:
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- name: results
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Recall: 0.7023
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- F1: 0.7065
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
|
|
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- accuracy
|
|
|
|
|
8 |
- f1
|
9 |
model-index:
|
10 |
- name: results
|
|
|
18 |
|
19 |
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.6970
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22 |
+
- Accuracy: 0.7288
|
23 |
+
- F1: 0.7229
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24 |
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## Model description
|
26 |
|
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|
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### Training hyperparameters
|
40 |
|
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The following hyperparameters were used during training:
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+
- learning_rate: 1e-05
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- train_batch_size: 16
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+
- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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48 |
- lr_scheduler_warmup_steps: 500
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+
- num_epochs: 10
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- mixed_precision_training: Native AMP
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|
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### Training results
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+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 1.108 | 0.02 | 10 | 1.1080 | 0.2174 | 0.1291 |
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| 1.1078 | 0.05 | 20 | 1.1070 | 0.2214 | 0.1295 |
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| 1.1054 | 0.07 | 30 | 1.1045 | 0.2409 | 0.1356 |
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| 1.1127 | 0.1 | 40 | 1.0994 | 0.3112 | 0.2653 |
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| 1.0924 | 0.12 | 50 | 1.0923 | 0.5664 | 0.5046 |
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| 1.0844 | 0.15 | 60 | 1.0841 | 0.6120 | 0.4647 |
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| 1.074 | 0.17 | 70 | 1.0756 | 0.6120 | 0.4647 |
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| 1.0725 | 0.19 | 80 | 1.0660 | 0.6120 | 0.4647 |
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| 1.0546 | 0.22 | 90 | 1.0541 | 0.6120 | 0.4647 |
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| 1.0407 | 0.24 | 100 | 1.0401 | 0.6120 | 0.4647 |
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| 1.0107 | 0.27 | 110 | 1.0227 | 0.6120 | 0.4647 |
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| 1.0217 | 0.29 | 120 | 1.0030 | 0.6120 | 0.4647 |
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| 0.9785 | 0.32 | 130 | 0.9774 | 0.6120 | 0.4647 |
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| 1.0076 | 0.34 | 140 | 0.9498 | 0.6120 | 0.4647 |
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| 0.9475 | 0.36 | 150 | 0.9313 | 0.6120 | 0.4647 |
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| 0.8933 | 0.39 | 160 | 0.9104 | 0.6120 | 0.4647 |
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| 1.0152 | 0.41 | 170 | 0.9052 | 0.6120 | 0.4647 |
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| 1.0132 | 0.44 | 180 | 0.9086 | 0.6120 | 0.4647 |
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| 0.9295 | 0.46 | 190 | 0.9178 | 0.6120 | 0.4647 |
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| 0.9264 | 0.49 | 200 | 0.9104 | 0.6120 | 0.4647 |
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| 0.9901 | 0.51 | 210 | 0.9087 | 0.6120 | 0.4647 |
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| 0.9287 | 0.53 | 220 | 0.9140 | 0.6120 | 0.4647 |
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| 0.9729 | 0.56 | 230 | 0.9108 | 0.6120 | 0.4647 |
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| 1.0134 | 0.58 | 240 | 0.9184 | 0.6120 | 0.4647 |
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| 0.9293 | 0.61 | 250 | 0.9016 | 0.6120 | 0.4647 |
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| 0.9546 | 0.63 | 260 | 0.8928 | 0.6120 | 0.4647 |
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| 0.9028 | 0.66 | 270 | 0.8910 | 0.6120 | 0.4647 |
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| 0.8572 | 0.68 | 280 | 0.8872 | 0.6120 | 0.4647 |
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| 0.9085 | 0.7 | 290 | 0.8813 | 0.6120 | 0.4647 |
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| 0.9711 | 0.73 | 300 | 0.8845 | 0.6120 | 0.4647 |
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| 0.8595 | 0.75 | 310 | 0.8768 | 0.6120 | 0.4647 |
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| 0.8392 | 0.78 | 320 | 0.8635 | 0.6120 | 0.4647 |
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| 0.8645 | 0.8 | 330 | 0.8700 | 0.6120 | 0.4647 |
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| 0.886 | 0.83 | 340 | 0.8746 | 0.6120 | 0.4647 |
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| 0.9011 | 0.85 | 350 | 0.8624 | 0.6120 | 0.4647 |
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| 0.866 | 0.87 | 360 | 0.8375 | 0.6120 | 0.4647 |
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| 0.9093 | 0.9 | 370 | 0.8616 | 0.6120 | 0.4647 |
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| 0.8792 | 0.92 | 380 | 0.8254 | 0.6120 | 0.4647 |
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| 0.7503 | 0.95 | 390 | 0.8279 | 0.6120 | 0.4647 |
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| 0.8007 | 0.97 | 400 | 0.8319 | 0.6120 | 0.4647 |
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| 0.9182 | 1.0 | 410 | 0.8737 | 0.6120 | 0.4647 |
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| 0.89 | 1.02 | 420 | 0.8689 | 0.6120 | 0.4647 |
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| 0.8556 | 1.04 | 430 | 0.8321 | 0.6185 | 0.4917 |
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| 0.8988 | 1.07 | 440 | 0.8146 | 0.6263 | 0.4981 |
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| 0.8161 | 1.09 | 450 | 0.8289 | 0.6159 | 0.4735 |
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| 0.8428 | 1.12 | 460 | 0.8441 | 0.6237 | 0.4908 |
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| 0.8503 | 1.14 | 470 | 0.8284 | 0.6562 | 0.6118 |
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| 0.7648 | 1.17 | 480 | 0.8277 | 0.6224 | 0.5989 |
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| 0.8573 | 1.19 | 490 | 0.8402 | 0.6328 | 0.5723 |
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| 0.7526 | 1.21 | 500 | 0.8147 | 0.6367 | 0.6037 |
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| 0.8221 | 1.24 | 510 | 0.8205 | 0.6276 | 0.5986 |
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| 0.83 | 1.26 | 520 | 0.7885 | 0.6471 | 0.5935 |
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| 0.7811 | 1.29 | 530 | 0.7936 | 0.6497 | 0.6471 |
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| 0.7587 | 1.31 | 540 | 0.7992 | 0.6510 | 0.6003 |
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| 0.7823 | 1.33 | 550 | 0.7637 | 0.6589 | 0.6498 |
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| 0.806 | 1.36 | 560 | 0.7986 | 0.6510 | 0.5994 |
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| 0.6892 | 1.38 | 570 | 0.7657 | 0.6576 | 0.6338 |
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| 0.7004 | 1.41 | 580 | 0.7759 | 0.6628 | 0.6604 |
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| 0.76 | 1.43 | 590 | 0.7915 | 0.6497 | 0.6319 |
|
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| 0.7296 | 1.46 | 600 | 0.7696 | 0.6536 | 0.6543 |
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| 0.7777 | 1.48 | 610 | 0.7408 | 0.6615 | 0.6516 |
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| 0.689 | 1.5 | 620 | 0.7559 | 0.6732 | 0.6359 |
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| 0.7462 | 1.53 | 630 | 0.7471 | 0.6641 | 0.6622 |
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| 0.7586 | 1.55 | 640 | 0.7719 | 0.6602 | 0.6484 |
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| 0.7149 | 1.58 | 650 | 0.7450 | 0.6615 | 0.6556 |
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| 0.7634 | 1.6 | 660 | 0.7440 | 0.6615 | 0.6499 |
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| 0.6967 | 1.63 | 670 | 0.7679 | 0.6615 | 0.6295 |
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| 0.8081 | 1.65 | 680 | 0.7868 | 0.6497 | 0.6525 |
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| 0.7743 | 1.67 | 690 | 0.7756 | 0.6471 | 0.6513 |
|
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| 0.6511 | 1.7 | 700 | 0.7339 | 0.6966 | 0.6700 |
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| 0.7563 | 1.72 | 710 | 0.8288 | 0.6107 | 0.6282 |
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| 0.7533 | 1.75 | 720 | 0.7225 | 0.6784 | 0.6716 |
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| 0.6474 | 1.77 | 730 | 0.7119 | 0.7070 | 0.6915 |
|
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| 0.6677 | 1.8 | 740 | 0.7168 | 0.6992 | 0.6879 |
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| 0.6215 | 1.82 | 750 | 0.7381 | 0.6823 | 0.6725 |
|
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| 0.7862 | 1.84 | 760 | 0.8190 | 0.6380 | 0.6555 |
|
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| 0.661 | 1.87 | 770 | 0.7201 | 0.6953 | 0.6803 |
|
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| 0.6256 | 1.89 | 780 | 0.7576 | 0.6732 | 0.6558 |
|
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| 0.7411 | 1.92 | 790 | 0.8308 | 0.6263 | 0.6354 |
|
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| 0.5917 | 1.94 | 800 | 0.7480 | 0.6875 | 0.6627 |
|
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| 0.7315 | 1.97 | 810 | 0.7350 | 0.6862 | 0.6777 |
|
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| 0.7161 | 1.99 | 820 | 0.7271 | 0.6862 | 0.6789 |
|
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| 0.6705 | 2.01 | 830 | 0.7650 | 0.6888 | 0.6583 |
|
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| 0.6363 | 2.04 | 840 | 0.7582 | 0.6602 | 0.6668 |
|
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| 0.5478 | 2.06 | 850 | 0.7336 | 0.6875 | 0.6760 |
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| 0.5762 | 2.09 | 860 | 0.7453 | 0.6797 | 0.6756 |
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| 0.5043 | 2.11 | 870 | 0.7730 | 0.6706 | 0.6751 |
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| 0.6707 | 2.14 | 880 | 0.7607 | 0.6797 | 0.6795 |
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| 0.6797 | 2.16 | 890 | 0.7392 | 0.6966 | 0.6903 |
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| 0.5108 | 2.18 | 900 | 0.7410 | 0.6992 | 0.6777 |
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| 0.6752 | 2.21 | 910 | 0.7795 | 0.6641 | 0.6701 |
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| 0.5653 | 2.23 | 920 | 0.7427 | 0.6927 | 0.6897 |
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| 0.4893 | 2.26 | 930 | 0.7870 | 0.6719 | 0.6800 |
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| 0.6131 | 2.28 | 940 | 0.7231 | 0.6992 | 0.6908 |
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| 0.5764 | 2.31 | 950 | 0.7240 | 0.6784 | 0.6764 |
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| 0.5644 | 2.33 | 960 | 0.7325 | 0.6758 | 0.6808 |
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| 0.5864 | 2.35 | 970 | 0.7196 | 0.7083 | 0.7077 |
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| 0.5273 | 2.38 | 980 | 0.7491 | 0.6979 | 0.7000 |
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| 0.5442 | 2.4 | 990 | 0.7273 | 0.6979 | 0.6962 |
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| 0.5273 | 2.43 | 1000 | 0.7619 | 0.6940 | 0.6971 |
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| 0.5559 | 2.45 | 1010 | 0.7602 | 0.6927 | 0.6759 |
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| 0.5739 | 2.48 | 1020 | 0.8416 | 0.6510 | 0.6620 |
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| 0.6714 | 2.5 | 1030 | 0.7206 | 0.6901 | 0.6833 |
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| 0.4798 | 2.52 | 1040 | 0.7417 | 0.6966 | 0.6967 |
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| 0.5155 | 2.55 | 1050 | 0.7524 | 0.6836 | 0.6756 |
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| 0.665 | 2.57 | 1060 | 0.7805 | 0.6836 | 0.6851 |
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| 0.5047 | 2.6 | 1070 | 0.7259 | 0.7005 | 0.6911 |
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| 0.4928 | 2.62 | 1080 | 0.7296 | 0.7070 | 0.6989 |
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| 0.6354 | 2.65 | 1090 | 0.7149 | 0.7057 | 0.6942 |
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| 0.5179 | 2.67 | 1100 | 0.7392 | 0.7005 | 0.7025 |
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| 0.565 | 2.69 | 1110 | 0.9225 | 0.6211 | 0.6397 |
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| 0.568 | 2.72 | 1120 | 0.7576 | 0.6927 | 0.6620 |
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| 0.6313 | 2.74 | 1130 | 0.7672 | 0.6823 | 0.6870 |
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| 0.5991 | 2.77 | 1140 | 0.7014 | 0.6953 | 0.6949 |
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| 0.5064 | 2.79 | 1150 | 0.6919 | 0.7201 | 0.7108 |
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| 0.5132 | 2.82 | 1160 | 0.7176 | 0.7109 | 0.7122 |
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| 0.4623 | 2.84 | 1170 | 0.7508 | 0.7083 | 0.7116 |
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| 0.5912 | 2.86 | 1180 | 0.6912 | 0.7188 | 0.7097 |
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174 |
+
| 0.6299 | 2.89 | 1190 | 0.6937 | 0.7214 | 0.7108 |
|
175 |
+
| 0.526 | 2.91 | 1200 | 0.8388 | 0.6680 | 0.6729 |
|
176 |
+
| 0.6121 | 2.94 | 1210 | 0.7092 | 0.7227 | 0.7078 |
|
177 |
+
| 0.505 | 2.96 | 1220 | 0.7108 | 0.7057 | 0.7069 |
|
178 |
+
| 0.5917 | 2.99 | 1230 | 0.7166 | 0.6992 | 0.6991 |
|
179 |
+
| 0.4392 | 3.01 | 1240 | 0.7017 | 0.7135 | 0.7125 |
|
180 |
+
| 0.3661 | 3.03 | 1250 | 0.7366 | 0.7148 | 0.7077 |
|
181 |
+
| 0.4179 | 3.06 | 1260 | 0.7762 | 0.7135 | 0.7123 |
|
182 |
+
| 0.5012 | 3.08 | 1270 | 0.7817 | 0.6901 | 0.6943 |
|
183 |
+
| 0.455 | 3.11 | 1280 | 0.7387 | 0.7031 | 0.7018 |
|
184 |
+
| 0.45 | 3.13 | 1290 | 0.7666 | 0.6849 | 0.6895 |
|
185 |
+
| 0.3803 | 3.16 | 1300 | 0.7289 | 0.7057 | 0.7055 |
|
186 |
+
| 0.3249 | 3.18 | 1310 | 0.7702 | 0.7057 | 0.7057 |
|
187 |
+
| 0.4053 | 3.2 | 1320 | 0.8736 | 0.6693 | 0.6762 |
|
188 |
+
| 0.6543 | 3.23 | 1330 | 0.7545 | 0.7083 | 0.7046 |
|
189 |
+
| 0.5145 | 3.25 | 1340 | 0.7623 | 0.7044 | 0.7065 |
|
190 |
+
| 0.4317 | 3.28 | 1350 | 0.7426 | 0.7096 | 0.7085 |
|
191 |
+
| 0.3173 | 3.3 | 1360 | 0.7538 | 0.7201 | 0.7088 |
|
192 |
+
| 0.3904 | 3.33 | 1370 | 0.7851 | 0.6966 | 0.7013 |
|
193 |
+
| 0.4739 | 3.35 | 1380 | 0.7529 | 0.7096 | 0.7090 |
|
194 |
+
| 0.3597 | 3.37 | 1390 | 0.7475 | 0.7135 | 0.7049 |
|
195 |
+
| 0.5589 | 3.4 | 1400 | 0.7390 | 0.7057 | 0.7068 |
|
196 |
+
| 0.4127 | 3.42 | 1410 | 0.7603 | 0.6992 | 0.7039 |
|
197 |
+
| 0.4193 | 3.45 | 1420 | 0.7565 | 0.7031 | 0.6982 |
|
198 |
+
| 0.4774 | 3.47 | 1430 | 0.7831 | 0.6966 | 0.6999 |
|
199 |
+
| 0.5156 | 3.5 | 1440 | 0.8372 | 0.6875 | 0.6948 |
|
200 |
+
| 0.4646 | 3.52 | 1450 | 0.7770 | 0.7083 | 0.7079 |
|
201 |
+
| 0.4435 | 3.54 | 1460 | 0.8211 | 0.6914 | 0.6981 |
|
202 |
+
| 0.4664 | 3.57 | 1470 | 0.7730 | 0.7109 | 0.7116 |
|
203 |
+
| 0.4468 | 3.59 | 1480 | 0.7884 | 0.6966 | 0.6972 |
|
204 |
+
| 0.4693 | 3.62 | 1490 | 0.7881 | 0.7018 | 0.7049 |
|
205 |
+
| 0.4677 | 3.64 | 1500 | 0.7521 | 0.7018 | 0.6935 |
|
206 |
+
| 0.3911 | 3.67 | 1510 | 0.8343 | 0.6693 | 0.6750 |
|
207 |
+
| 0.4981 | 3.69 | 1520 | 0.7461 | 0.7057 | 0.7003 |
|
208 |
+
| 0.432 | 3.71 | 1530 | 0.7555 | 0.7227 | 0.7085 |
|
209 |
+
| 0.5283 | 3.74 | 1540 | 0.8265 | 0.6497 | 0.6596 |
|
210 |
+
| 0.4641 | 3.76 | 1550 | 0.7541 | 0.7005 | 0.6920 |
|
211 |
+
| 0.42 | 3.79 | 1560 | 0.7664 | 0.6979 | 0.6916 |
|
212 |
+
| 0.6015 | 3.81 | 1570 | 0.8471 | 0.6484 | 0.6541 |
|
213 |
+
| 0.5301 | 3.83 | 1580 | 0.7240 | 0.6979 | 0.6946 |
|
214 |
+
| 0.4583 | 3.86 | 1590 | 0.7755 | 0.6888 | 0.6921 |
|
215 |
+
| 0.5194 | 3.88 | 1600 | 0.7334 | 0.7122 | 0.7088 |
|
216 |
+
| 0.3624 | 3.91 | 1610 | 0.7659 | 0.6940 | 0.6951 |
|
217 |
+
| 0.543 | 3.93 | 1620 | 0.7718 | 0.6992 | 0.7027 |
|
218 |
+
| 0.3838 | 3.96 | 1630 | 0.7798 | 0.6940 | 0.6994 |
|
219 |
+
| 0.4389 | 3.98 | 1640 | 0.7479 | 0.7201 | 0.7159 |
|
220 |
+
| 0.3009 | 4.0 | 1650 | 0.7924 | 0.7031 | 0.7035 |
|
221 |
+
| 0.3812 | 4.03 | 1660 | 0.8021 | 0.7201 | 0.7186 |
|
222 |
+
| 0.3271 | 4.05 | 1670 | 0.8095 | 0.7188 | 0.7180 |
|
223 |
+
| 0.2551 | 4.08 | 1680 | 0.8355 | 0.7083 | 0.7107 |
|
224 |
+
| 0.3143 | 4.1 | 1690 | 0.8294 | 0.7096 | 0.7109 |
|
225 |
+
| 0.4337 | 4.13 | 1700 | 0.8897 | 0.6823 | 0.6873 |
|
226 |
+
| 0.5192 | 4.15 | 1710 | 0.8754 | 0.6758 | 0.6819 |
|
227 |
+
| 0.278 | 4.17 | 1720 | 0.8021 | 0.7096 | 0.7061 |
|
228 |
+
| 0.2782 | 4.2 | 1730 | 0.8350 | 0.6992 | 0.7031 |
|
229 |
+
| 0.2952 | 4.22 | 1740 | 0.8248 | 0.6966 | 0.6998 |
|
230 |
|
231 |
|
232 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 498615900
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:edf423e69a6fac386ceed6e24b6cb4ef3ba1efa7b662896950ee34e4a3c732ac
|
3 |
size 498615900
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4536
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:27eb0c4a90d9be1b7118c2a9a5128d88ad532a5fae307b282c4942f8654077aa
|
3 |
size 4536
|