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mnavas
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bert-finetuned-token-reqsolvgencat

Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: beto-finetuned-token-reqsolvgencat
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # beto-finetuned-token-reqsolvgencat
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+
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+ This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0573
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+ - Precision: 0.1111
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+ - Recall: 0.5
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+ - F1: 0.1818
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+ - Accuracy: 0.7765
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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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+ - num_epochs: 200
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.8551 | 1.0 | 3 | 1.1478 | 0.0 | 0.0 | 0.0 | 0.4696 |
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+ | 1.4354 | 2.0 | 6 | 0.7403 | 0.0 | 0.0 | 0.0 | 0.6088 |
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+ | 0.6532 | 3.0 | 9 | 0.6900 | 0.0 | 0.0 | 0.0 | 0.6010 |
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+ | 0.406 | 4.0 | 12 | 2.0318 | 0.0 | 0.0 | 0.0 | 0.5284 |
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+ | 1.3514 | 5.0 | 15 | 1.3364 | 0.0 | 0.0 | 0.0 | 0.6186 |
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+ | 0.419 | 6.0 | 18 | 0.9463 | 0.0 | 0.0 | 0.0 | 0.6 |
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+ | 0.4816 | 7.0 | 21 | 0.9409 | 0.0 | 0.0 | 0.0 | 0.6314 |
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+ | 0.8621 | 8.0 | 24 | 0.9034 | 0.0 | 0.0 | 0.0 | 0.7010 |
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+ | 0.2981 | 9.0 | 27 | 0.9617 | 0.0 | 0.0 | 0.0 | 0.6039 |
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+ | 0.5882 | 10.0 | 30 | 0.5289 | 0.0 | 0.0 | 0.0 | 0.8 |
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+ | 0.4327 | 11.0 | 33 | 0.6573 | 0.2 | 0.5 | 0.2857 | 0.7882 |
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+ | 0.2076 | 12.0 | 36 | 0.9207 | 0.0 | 0.0 | 0.0 | 0.6784 |
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+ | 0.1454 | 13.0 | 39 | 0.7729 | 0.0 | 0.0 | 0.0 | 0.7882 |
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+ | 0.2339 | 14.0 | 42 | 0.9067 | 0.0 | 0.0 | 0.0 | 0.7608 |
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+ | 0.2281 | 15.0 | 45 | 0.4732 | 0.0 | 0.0 | 0.0 | 0.7892 |
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+ | 0.1058 | 16.0 | 48 | 0.8219 | 0.0667 | 0.5 | 0.1176 | 0.7961 |
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+ | 0.0577 | 17.0 | 51 | 0.9698 | 0.1429 | 0.5 | 0.2222 | 0.8147 |
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+ | 0.0354 | 18.0 | 54 | 1.3158 | 0.0714 | 0.5 | 0.125 | 0.7549 |
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+ | 0.0258 | 19.0 | 57 | 2.2414 | 0.1667 | 0.5 | 0.25 | 0.6941 |
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+ | 0.0456 | 20.0 | 60 | 1.2596 | 0.0667 | 0.5 | 0.1176 | 0.7520 |
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+ | 0.0339 | 21.0 | 63 | 1.8941 | 0.1667 | 0.5 | 0.25 | 0.7069 |
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+ | 0.02 | 22.0 | 66 | 1.0201 | 0.1 | 0.5 | 0.1667 | 0.7941 |
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+ | 0.0257 | 23.0 | 69 | 1.4716 | 0.0909 | 0.5 | 0.1538 | 0.7716 |
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+ | 0.0148 | 24.0 | 72 | 2.6551 | 0.0 | 0.0 | 0.0 | 0.6853 |
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+ | 0.0257 | 25.0 | 75 | 1.7904 | 0.125 | 0.5 | 0.2 | 0.7324 |
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+ | 0.0183 | 26.0 | 78 | 2.2579 | 0.2 | 0.5 | 0.2857 | 0.7078 |
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+ | 0.0218 | 27.0 | 81 | 1.3332 | 0.1667 | 0.5 | 0.25 | 0.7137 |
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+ | 0.0148 | 28.0 | 84 | 0.7506 | 0.0769 | 0.5 | 0.1333 | 0.8696 |
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+ | 0.0081 | 29.0 | 87 | 2.2165 | 0.1667 | 0.5 | 0.25 | 0.7059 |
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+ | 0.0098 | 30.0 | 90 | 2.5291 | 0.2 | 0.5 | 0.2857 | 0.7 |
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+ | 0.0072 | 31.0 | 93 | 2.5877 | 0.25 | 0.5 | 0.3333 | 0.6990 |
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+ | 0.0162 | 32.0 | 96 | 2.7463 | 0.1667 | 0.5 | 0.25 | 0.6941 |
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+ | 0.0073 | 33.0 | 99 | 2.2100 | 0.1429 | 0.5 | 0.2222 | 0.7176 |
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+ | 0.0057 | 34.0 | 102 | 1.5509 | 0.0769 | 0.5 | 0.1333 | 0.7814 |
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+ | 0.0077 | 35.0 | 105 | 1.8449 | 0.1111 | 0.5 | 0.1818 | 0.7578 |
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+ | 0.0071 | 36.0 | 108 | 2.3808 | 0.3333 | 0.5 | 0.4 | 0.7127 |
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+ | 0.0063 | 37.0 | 111 | 1.1188 | 0.125 | 0.5 | 0.2 | 0.8598 |
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+ | 0.0067 | 38.0 | 114 | 1.7108 | 0.0 | 0.0 | 0.0 | 0.7892 |
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+ | 0.0063 | 39.0 | 117 | 1.8995 | 0.1 | 0.5 | 0.1667 | 0.7363 |
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+ | 0.0086 | 40.0 | 120 | 2.0472 | 0.1667 | 0.5 | 0.25 | 0.7137 |
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+ | 0.0028 | 41.0 | 123 | 1.8879 | 0.1111 | 0.5 | 0.1818 | 0.7245 |
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+ | 0.0084 | 42.0 | 126 | 1.9545 | 0.1667 | 0.5 | 0.25 | 0.7157 |
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+ | 0.0018 | 43.0 | 129 | 2.5274 | 0.0 | 0.0 | 0.0 | 0.6922 |
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+ | 0.0031 | 44.0 | 132 | 2.0330 | 0.0909 | 0.5 | 0.1538 | 0.7245 |
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+ | 0.0034 | 45.0 | 135 | 0.9381 | 0.1 | 0.5 | 0.1667 | 0.8569 |
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+ | 0.0016 | 46.0 | 138 | 0.6307 | 0.1111 | 0.5 | 0.1818 | 0.8980 |
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+ | 0.0011 | 47.0 | 141 | 0.7823 | 0.0667 | 0.5 | 0.1176 | 0.8676 |
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+ | 0.0021 | 48.0 | 144 | 1.1034 | 0.0909 | 0.5 | 0.1538 | 0.8373 |
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+ | 0.0025 | 49.0 | 147 | 1.4482 | 0.2 | 0.5 | 0.2857 | 0.8108 |
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+ | 0.0023 | 50.0 | 150 | 1.5541 | 0.1667 | 0.5 | 0.25 | 0.8069 |
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+ | 0.0007 | 51.0 | 153 | 1.7164 | 0.1667 | 0.5 | 0.25 | 0.8010 |
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+ | 0.0002 | 52.0 | 156 | 1.8291 | 0.1667 | 0.5 | 0.25 | 0.7941 |
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+ | 0.0002 | 53.0 | 159 | 1.8918 | 0.1429 | 0.5 | 0.2222 | 0.7892 |
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+ | 0.0016 | 54.0 | 162 | 1.8814 | 0.2 | 0.5 | 0.2857 | 0.7961 |
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+ | 0.0013 | 55.0 | 165 | 1.8920 | 0.1 | 0.5 | 0.1667 | 0.7873 |
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+ | 0.0009 | 56.0 | 168 | 1.8802 | 0.1 | 0.5 | 0.1667 | 0.7843 |
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+ | 0.0017 | 57.0 | 171 | 1.7839 | 0.1111 | 0.5 | 0.1818 | 0.8 |
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+ | 0.0028 | 58.0 | 174 | 1.7409 | 0.1 | 0.5 | 0.1667 | 0.7961 |
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+ | 0.0029 | 59.0 | 177 | 2.1381 | 0.1 | 0.5 | 0.1667 | 0.7196 |
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+ | 0.0008 | 60.0 | 180 | 2.4554 | 0.125 | 0.5 | 0.2 | 0.6922 |
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+ | 0.0012 | 61.0 | 183 | 2.7071 | 0.125 | 0.5 | 0.2 | 0.6676 |
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+ | 0.0011 | 62.0 | 186 | 2.5624 | 0.125 | 0.5 | 0.2 | 0.6814 |
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+ | 0.0009 | 63.0 | 189 | 2.1029 | 0.2 | 0.5 | 0.2857 | 0.7363 |
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+ | 0.0011 | 64.0 | 192 | 1.5984 | 0.125 | 0.5 | 0.2 | 0.7804 |
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+ | 0.0005 | 65.0 | 195 | 1.4155 | 0.0909 | 0.5 | 0.1538 | 0.8088 |
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+ | 0.001 | 66.0 | 198 | 1.3276 | 0.1111 | 0.5 | 0.1818 | 0.8225 |
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+ | 0.0002 | 67.0 | 201 | 1.2844 | 0.1429 | 0.5 | 0.2222 | 0.8255 |
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+ | 0.0076 | 68.0 | 204 | 1.2601 | 0.1667 | 0.5 | 0.25 | 0.8275 |
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+ | 0.0003 | 69.0 | 207 | 1.3359 | 0.1429 | 0.5 | 0.2222 | 0.8343 |
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+ | 0.0027 | 70.0 | 210 | 1.2452 | 0.25 | 0.5 | 0.3333 | 0.8363 |
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+ | 0.004 | 71.0 | 213 | 1.7228 | 0.1 | 0.5 | 0.1667 | 0.7775 |
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+ | 0.0004 | 72.0 | 216 | 2.7878 | 0.5 | 0.5 | 0.5 | 0.6804 |
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+ | 1.1257 | 73.0 | 219 | 2.5785 | 0.5 | 0.5 | 0.5 | 0.6804 |
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+ | 0.0209 | 74.0 | 222 | 0.1081 | 0.1111 | 0.5 | 0.1818 | 0.9775 |
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+ | 0.0486 | 75.0 | 225 | 1.5039 | 0.0667 | 0.5 | 0.1176 | 0.7784 |
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+ | 0.0012 | 76.0 | 228 | 3.2975 | 0.0 | 0.0 | 0.0 | 0.6098 |
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+ | 0.0929 | 77.0 | 231 | 2.4796 | 0.3333 | 0.5 | 0.4 | 0.6618 |
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+ | 0.0006 | 78.0 | 234 | 1.6117 | 0.125 | 0.5 | 0.2 | 0.7951 |
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+ | 0.0077 | 79.0 | 237 | 1.8651 | 0.125 | 0.5 | 0.2 | 0.7127 |
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+ | 0.0032 | 80.0 | 240 | 2.0187 | 0.1667 | 0.5 | 0.25 | 0.6873 |
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+ | 0.0007 | 81.0 | 243 | 1.9540 | 0.1 | 0.5 | 0.1667 | 0.6902 |
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+ | 0.0011 | 82.0 | 246 | 1.8161 | 0.0714 | 0.5 | 0.125 | 0.7275 |
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+ | 0.0009 | 83.0 | 249 | 1.7688 | 0.1111 | 0.5 | 0.1818 | 0.7657 |
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+ | 0.0006 | 84.0 | 252 | 1.7025 | 0.1667 | 0.5 | 0.25 | 0.7912 |
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+ | 0.0003 | 85.0 | 255 | 1.6924 | 0.2 | 0.5 | 0.2857 | 0.7980 |
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+ | 0.0004 | 86.0 | 258 | 1.7019 | 0.1667 | 0.5 | 0.25 | 0.7980 |
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+ | 0.0008 | 87.0 | 261 | 1.7386 | 0.2 | 0.5 | 0.2857 | 0.7971 |
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+ | 0.0002 | 88.0 | 264 | 1.7882 | 0.1667 | 0.5 | 0.25 | 0.7961 |
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+ | 0.0001 | 89.0 | 267 | 1.8405 | 0.0833 | 0.5 | 0.1429 | 0.7833 |
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+ | 0.0004 | 90.0 | 270 | 1.8319 | 0.125 | 0.5 | 0.2 | 0.7931 |
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+ | 0.0003 | 91.0 | 273 | 1.8520 | 0.125 | 0.5 | 0.2 | 0.7931 |
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+ | 0.0001 | 92.0 | 276 | 1.8876 | 0.0909 | 0.5 | 0.1538 | 0.7873 |
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+ | 0.0001 | 93.0 | 279 | 1.9220 | 0.1 | 0.5 | 0.1667 | 0.7814 |
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+ | 0.0004 | 94.0 | 282 | 2.0870 | 0.1 | 0.5 | 0.1667 | 0.7333 |
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+ | 0.0004 | 95.0 | 285 | 2.1469 | 0.1111 | 0.5 | 0.1818 | 0.7225 |
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+ | 0.0009 | 96.0 | 288 | 2.1726 | 0.1429 | 0.5 | 0.2222 | 0.7196 |
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+ | 0.0007 | 97.0 | 291 | 1.9247 | 0.1 | 0.5 | 0.1667 | 0.7667 |
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+ | 0.0012 | 98.0 | 294 | 1.8172 | 0.1111 | 0.5 | 0.1818 | 0.7902 |
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+ | 0.0002 | 99.0 | 297 | 1.7789 | 0.1 | 0.5 | 0.1667 | 0.7980 |
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+ | 0.0109 | 100.0 | 300 | 1.8386 | 0.0909 | 0.5 | 0.1538 | 0.7843 |
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+ | 0.0008 | 101.0 | 303 | 2.0800 | 0.1 | 0.5 | 0.1667 | 0.7314 |
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+ | 0.0002 | 102.0 | 306 | 2.5253 | 0.3333 | 0.5 | 0.4 | 0.6804 |
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+ | 0.001 | 103.0 | 309 | 2.2149 | 0.1 | 0.5 | 0.1667 | 0.7118 |
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+ | 0.0001 | 104.0 | 312 | 1.8607 | 0.1 | 0.5 | 0.1667 | 0.8020 |
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+ | 0.0002 | 105.0 | 315 | 1.7786 | 0.1 | 0.5 | 0.1667 | 0.8127 |
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+ | 0.0009 | 106.0 | 318 | 1.8432 | 0.125 | 0.5 | 0.2 | 0.8078 |
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+ | 0.0001 | 107.0 | 321 | 2.0339 | 0.1111 | 0.5 | 0.1818 | 0.7784 |
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+ | 0.0001 | 108.0 | 324 | 2.2628 | 0.0769 | 0.5 | 0.1333 | 0.7392 |
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+ | 0.0007 | 109.0 | 327 | 2.3649 | 0.0714 | 0.5 | 0.125 | 0.7265 |
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+ | 0.0001 | 110.0 | 330 | 2.4330 | 0.0714 | 0.5 | 0.125 | 0.7137 |
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+ | 0.0001 | 111.0 | 333 | 2.4918 | 0.1 | 0.5 | 0.1667 | 0.7059 |
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+ | 0.0002 | 112.0 | 336 | 2.2853 | 0.0909 | 0.5 | 0.1538 | 0.7647 |
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+ | 0.0001 | 113.0 | 339 | 2.1945 | 0.1 | 0.5 | 0.1667 | 0.7765 |
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+ | 0.0001 | 114.0 | 342 | 2.1446 | 0.1111 | 0.5 | 0.1818 | 0.7824 |
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+ | 0.0008 | 115.0 | 345 | 2.1037 | 0.1111 | 0.5 | 0.1818 | 0.7863 |
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+ | 0.0001 | 116.0 | 348 | 2.0753 | 0.1 | 0.5 | 0.1667 | 0.7902 |
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+ | 0.0001 | 117.0 | 351 | 2.0617 | 0.1 | 0.5 | 0.1667 | 0.7902 |
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+ | 0.0014 | 118.0 | 354 | 1.9908 | 0.1111 | 0.5 | 0.1818 | 0.7961 |
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+ | 0.0009 | 119.0 | 357 | 1.9134 | 0.1111 | 0.5 | 0.1818 | 0.8 |
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+ | 0.0009 | 120.0 | 360 | 1.8651 | 0.1111 | 0.5 | 0.1818 | 0.8020 |
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+ | 0.0002 | 121.0 | 363 | 1.8480 | 0.1111 | 0.5 | 0.1818 | 0.8 |
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+ | 0.0001 | 122.0 | 366 | 1.8558 | 0.0909 | 0.5 | 0.1538 | 0.7961 |
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+ | 0.0001 | 123.0 | 369 | 1.8727 | 0.1111 | 0.5 | 0.1818 | 0.7892 |
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+ | 0.0001 | 124.0 | 372 | 1.8951 | 0.125 | 0.5 | 0.2 | 0.7863 |
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+ | 0.0007 | 125.0 | 375 | 1.8971 | 0.1667 | 0.5 | 0.25 | 0.7833 |
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+ | 0.0011 | 126.0 | 378 | 1.8479 | 0.1667 | 0.5 | 0.25 | 0.7814 |
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+ | 0.0002 | 127.0 | 381 | 1.7985 | 0.1429 | 0.5 | 0.2222 | 0.7804 |
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+ | 0.0001 | 128.0 | 384 | 1.7712 | 0.125 | 0.5 | 0.2 | 0.7794 |
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+ | 0.0001 | 129.0 | 387 | 1.7929 | 0.1111 | 0.5 | 0.1818 | 0.7755 |
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+ | 0.0002 | 130.0 | 390 | 1.8551 | 0.1111 | 0.5 | 0.1818 | 0.7725 |
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+ | 0.0001 | 131.0 | 393 | 1.9030 | 0.125 | 0.5 | 0.2 | 0.7716 |
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+ | 0.0001 | 132.0 | 396 | 1.9421 | 0.125 | 0.5 | 0.2 | 0.7686 |
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+ | 0.0009 | 133.0 | 399 | 1.9440 | 0.125 | 0.5 | 0.2 | 0.7686 |
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+ | 0.0001 | 134.0 | 402 | 1.9455 | 0.125 | 0.5 | 0.2 | 0.7686 |
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+ | 0.0001 | 135.0 | 405 | 1.9527 | 0.125 | 0.5 | 0.2 | 0.7686 |
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+ | 0.0004 | 136.0 | 408 | 1.9493 | 0.125 | 0.5 | 0.2 | 0.7706 |
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+ | 0.0001 | 137.0 | 411 | 1.9432 | 0.125 | 0.5 | 0.2 | 0.7706 |
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+ | 0.0001 | 138.0 | 414 | 1.9491 | 0.125 | 0.5 | 0.2 | 0.7706 |
195
+ | 0.0002 | 139.0 | 417 | 1.9434 | 0.1 | 0.5 | 0.1667 | 0.7735 |
196
+ | 0.0006 | 140.0 | 420 | 1.9363 | 0.1111 | 0.5 | 0.1818 | 0.7784 |
197
+ | 0.0001 | 141.0 | 423 | 1.9330 | 0.1111 | 0.5 | 0.1818 | 0.7804 |
198
+ | 0.0001 | 142.0 | 426 | 1.9334 | 0.1111 | 0.5 | 0.1818 | 0.7833 |
199
+ | 0.0001 | 143.0 | 429 | 1.9366 | 0.125 | 0.5 | 0.2 | 0.7843 |
200
+ | 0.0001 | 144.0 | 432 | 1.9417 | 0.1111 | 0.5 | 0.1818 | 0.7843 |
201
+ | 0.0001 | 145.0 | 435 | 1.9467 | 0.1111 | 0.5 | 0.1818 | 0.7843 |
202
+ | 0.0001 | 146.0 | 438 | 1.9518 | 0.1111 | 0.5 | 0.1818 | 0.7843 |
203
+ | 0.0001 | 147.0 | 441 | 1.9574 | 0.1111 | 0.5 | 0.1818 | 0.7853 |
204
+ | 0.0001 | 148.0 | 444 | 1.9635 | 0.1111 | 0.5 | 0.1818 | 0.7853 |
205
+ | 0.0003 | 149.0 | 447 | 1.9643 | 0.1111 | 0.5 | 0.1818 | 0.7853 |
206
+ | 0.0001 | 150.0 | 450 | 1.9664 | 0.125 | 0.5 | 0.2 | 0.7853 |
207
+ | 0.0008 | 151.0 | 453 | 1.9830 | 0.125 | 0.5 | 0.2 | 0.7843 |
208
+ | 0.0001 | 152.0 | 456 | 1.9974 | 0.125 | 0.5 | 0.2 | 0.7824 |
209
+ | 0.0001 | 153.0 | 459 | 2.0083 | 0.125 | 0.5 | 0.2 | 0.7824 |
210
+ | 0.0007 | 154.0 | 462 | 2.0066 | 0.1111 | 0.5 | 0.1818 | 0.7833 |
211
+ | 0.0001 | 155.0 | 465 | 2.0047 | 0.1111 | 0.5 | 0.1818 | 0.7833 |
212
+ | 0.0001 | 156.0 | 468 | 2.0042 | 0.1111 | 0.5 | 0.1818 | 0.7833 |
213
+ | 0.0001 | 157.0 | 471 | 2.0075 | 0.1111 | 0.5 | 0.1818 | 0.7833 |
214
+ | 0.0008 | 158.0 | 474 | 2.0217 | 0.1111 | 0.5 | 0.1818 | 0.7824 |
215
+ | 0.0001 | 159.0 | 477 | 2.0326 | 0.125 | 0.5 | 0.2 | 0.7814 |
216
+ | 0.0001 | 160.0 | 480 | 2.0422 | 0.125 | 0.5 | 0.2 | 0.7814 |
217
+ | 0.0001 | 161.0 | 483 | 2.0493 | 0.125 | 0.5 | 0.2 | 0.7804 |
218
+ | 0.0001 | 162.0 | 486 | 2.0568 | 0.125 | 0.5 | 0.2 | 0.7804 |
219
+ | 0.0002 | 163.0 | 489 | 2.0818 | 0.125 | 0.5 | 0.2 | 0.7755 |
220
+ | 0.0001 | 164.0 | 492 | 2.0997 | 0.125 | 0.5 | 0.2 | 0.7755 |
221
+ | 0.0001 | 165.0 | 495 | 2.1127 | 0.125 | 0.5 | 0.2 | 0.7745 |
222
+ | 0.0001 | 166.0 | 498 | 2.1226 | 0.125 | 0.5 | 0.2 | 0.7745 |
223
+ | 0.0001 | 167.0 | 501 | 2.1311 | 0.1111 | 0.5 | 0.1818 | 0.7716 |
224
+ | 0.0001 | 168.0 | 504 | 2.1377 | 0.1111 | 0.5 | 0.1818 | 0.7716 |
225
+ | 0.0003 | 169.0 | 507 | 2.1296 | 0.1111 | 0.5 | 0.1818 | 0.7716 |
226
+ | 0.0001 | 170.0 | 510 | 2.1180 | 0.125 | 0.5 | 0.2 | 0.7745 |
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+ | 0.0 | 171.0 | 513 | 2.1095 | 0.125 | 0.5 | 0.2 | 0.7745 |
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+ | 0.0 | 172.0 | 516 | 2.1035 | 0.125 | 0.5 | 0.2 | 0.7745 |
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+ | 0.0001 | 173.0 | 519 | 2.0999 | 0.125 | 0.5 | 0.2 | 0.7745 |
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+ | 0.0 | 174.0 | 522 | 2.0984 | 0.125 | 0.5 | 0.2 | 0.7745 |
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+ | 0.0004 | 175.0 | 525 | 2.0930 | 0.125 | 0.5 | 0.2 | 0.7755 |
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+ | 0.0 | 176.0 | 528 | 2.0874 | 0.125 | 0.5 | 0.2 | 0.7755 |
233
+ | 0.006 | 177.0 | 531 | 2.0807 | 0.125 | 0.5 | 0.2 | 0.7755 |
234
+ | 0.0001 | 178.0 | 534 | 2.0717 | 0.125 | 0.5 | 0.2 | 0.7755 |
235
+ | 0.0001 | 179.0 | 537 | 2.0721 | 0.125 | 0.5 | 0.2 | 0.7755 |
236
+ | 0.0001 | 180.0 | 540 | 2.0731 | 0.125 | 0.5 | 0.2 | 0.7755 |
237
+ | 0.001 | 181.0 | 543 | 2.0712 | 0.125 | 0.5 | 0.2 | 0.7745 |
238
+ | 0.0001 | 182.0 | 546 | 2.0700 | 0.125 | 0.5 | 0.2 | 0.7745 |
239
+ | 0.0001 | 183.0 | 549 | 2.0692 | 0.125 | 0.5 | 0.2 | 0.7745 |
240
+ | 0.0001 | 184.0 | 552 | 2.0622 | 0.125 | 0.5 | 0.2 | 0.7755 |
241
+ | 0.0006 | 185.0 | 555 | 2.0582 | 0.125 | 0.5 | 0.2 | 0.7755 |
242
+ | 0.0001 | 186.0 | 558 | 2.0564 | 0.125 | 0.5 | 0.2 | 0.7755 |
243
+ | 0.0001 | 187.0 | 561 | 2.0562 | 0.125 | 0.5 | 0.2 | 0.7745 |
244
+ | 0.0001 | 188.0 | 564 | 2.0571 | 0.125 | 0.5 | 0.2 | 0.7745 |
245
+ | 0.0001 | 189.0 | 567 | 2.0587 | 0.125 | 0.5 | 0.2 | 0.7745 |
246
+ | 0.0001 | 190.0 | 570 | 2.0597 | 0.1111 | 0.5 | 0.1818 | 0.7735 |
247
+ | 0.0041 | 191.0 | 573 | 2.0555 | 0.125 | 0.5 | 0.2 | 0.7745 |
248
+ | 0.0002 | 192.0 | 576 | 2.0473 | 0.1111 | 0.5 | 0.1818 | 0.7765 |
249
+ | 0.0001 | 193.0 | 579 | 2.0480 | 0.1111 | 0.5 | 0.1818 | 0.7765 |
250
+ | 0.0002 | 194.0 | 582 | 2.0507 | 0.1111 | 0.5 | 0.1818 | 0.7765 |
251
+ | 0.0001 | 195.0 | 585 | 2.0541 | 0.1111 | 0.5 | 0.1818 | 0.7765 |
252
+ | 0.0001 | 196.0 | 588 | 2.0562 | 0.1111 | 0.5 | 0.1818 | 0.7765 |
253
+ | 0.0001 | 197.0 | 591 | 2.0586 | 0.1111 | 0.5 | 0.1818 | 0.7765 |
254
+ | 0.0001 | 198.0 | 594 | 2.0596 | 0.1111 | 0.5 | 0.1818 | 0.7765 |
255
+ | 0.0001 | 199.0 | 597 | 2.0604 | 0.1111 | 0.5 | 0.1818 | 0.7765 |
256
+ | 0.0003 | 200.0 | 600 | 2.0573 | 0.1111 | 0.5 | 0.1818 | 0.7765 |
257
+
258
+
259
+ ### Framework versions
260
+
261
+ - Transformers 4.31.0.dev0
262
+ - Pytorch 2.0.0
263
+ - Datasets 2.1.0
264
+ - Tokenizers 0.13.3