pretrained-bert-base-100
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 5.5798
- Validation Loss: 14.1522
- Epoch: 99
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
8.8180 | 9.8287 | 0 |
6.9008 | 9.9128 | 1 |
6.6984 | 10.5699 | 2 |
6.0922 | 10.6815 | 3 |
7.4481 | 10.2008 | 4 |
6.1991 | 10.7918 | 5 |
6.0636 | 10.8031 | 6 |
6.0324 | 10.8065 | 7 |
5.8834 | 11.0328 | 8 |
5.6852 | 10.9941 | 9 |
5.7602 | 11.4597 | 10 |
5.7166 | 11.3688 | 11 |
5.6131 | nan | 12 |
5.6185 | 11.7676 | 13 |
5.7273 | 11.7161 | 14 |
5.6162 | 11.9106 | 15 |
5.7344 | 11.9131 | 16 |
5.7757 | 11.7448 | 17 |
5.6769 | 11.9218 | 18 |
5.6946 | 12.1175 | 19 |
5.6924 | 12.1778 | 20 |
5.5770 | 12.3167 | 21 |
5.4709 | 12.4586 | 22 |
5.7594 | 11.9413 | 23 |
5.5429 | 12.1610 | 24 |
5.4948 | 12.8648 | 25 |
5.6066 | 12.5354 | 26 |
5.7700 | 12.2591 | 27 |
5.6883 | 12.3748 | 28 |
5.6293 | 12.6476 | 29 |
5.7073 | 12.3106 | 30 |
5.6654 | 12.6093 | 31 |
5.8030 | 12.9058 | 32 |
5.5708 | 12.2990 | 33 |
5.6817 | 12.7136 | 34 |
5.6733 | 12.4783 | 35 |
5.5641 | 12.8990 | 36 |
5.6529 | 12.8055 | 37 |
5.6624 | 12.6477 | 38 |
5.7040 | 12.8407 | 39 |
5.6736 | 13.3960 | 40 |
5.6500 | 12.9211 | 41 |
5.6443 | 12.8308 | 42 |
5.5996 | 12.8930 | 43 |
5.3710 | 13.4719 | 44 |
5.5483 | 13.1366 | 45 |
5.5923 | 12.8598 | 46 |
5.5535 | 13.5748 | 47 |
5.5364 | 13.1579 | 48 |
5.7182 | 12.7962 | 49 |
5.4856 | 13.0038 | 50 |
5.5241 | 12.9632 | 51 |
5.4996 | 12.8477 | 52 |
5.6620 | 12.8107 | 53 |
5.6451 | 13.1976 | 54 |
5.5493 | 13.3731 | 55 |
5.5629 | 13.1022 | 56 |
5.6177 | 12.9348 | 57 |
5.6781 | 13.0553 | 58 |
5.6112 | 13.2850 | 59 |
5.5908 | 13.5602 | 60 |
5.6984 | 13.0039 | 61 |
5.4979 | 13.9429 | 62 |
5.6750 | 13.1717 | 63 |
5.6696 | 13.2127 | 64 |
5.6631 | 13.1643 | 65 |
5.6421 | 13.2311 | 66 |
5.6400 | 13.3191 | 67 |
5.6845 | 13.2363 | 68 |
5.6620 | 13.1115 | 69 |
5.6084 | 13.5133 | 70 |
5.4539 | 13.7953 | 71 |
5.6143 | 13.3565 | 72 |
5.6153 | 13.1141 | 73 |
5.6301 | 13.8310 | 74 |
5.7122 | 13.3998 | 75 |
5.5747 | 13.4063 | 76 |
5.5796 | 13.6303 | 77 |
5.5496 | 13.7870 | 78 |
5.5954 | 13.6211 | 79 |
5.6439 | 13.4964 | 80 |
5.7678 | 13.8165 | 81 |
5.5670 | 14.0257 | 82 |
5.5355 | 14.0359 | 83 |
5.6323 | 13.9998 | 84 |
5.5381 | nan | 85 |
5.6362 | 13.5828 | 86 |
5.6429 | 13.8217 | 87 |
5.5660 | 13.5157 | 88 |
5.5396 | 14.1864 | 89 |
5.5623 | 13.9653 | 90 |
5.6208 | 14.1349 | 91 |
5.5999 | 13.5511 | 92 |
5.6587 | 13.8928 | 93 |
5.6402 | 13.6646 | 94 |
5.6468 | 13.5333 | 95 |
5.5499 | 14.1628 | 96 |
5.5621 | 14.3442 | 97 |
5.5201 | 14.1347 | 98 |
5.5798 | 14.1522 | 99 |
Framework versions
- Transformers 4.27.0.dev0
- TensorFlow 2.11.0
- Datasets 2.9.0
- Tokenizers 0.13.2
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