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--- |
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library_name: transformers |
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license: mit |
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base_model: indolem/indobert-base-uncased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Labira/LabiraPJOK_1_100 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# Labira/LabiraPJOK_1_100 |
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0026 |
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- Validation Loss: 8.2710 |
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- Epoch: 94 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.5573 | 6.1112 | 0 | |
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| 0.2525 | 4.7174 | 1 | |
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| 0.4330 | 4.9959 | 2 | |
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| 0.2496 | 5.5703 | 3 | |
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| 0.1868 | 5.9061 | 4 | |
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| 0.1491 | 6.0854 | 5 | |
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| 0.1951 | 6.3417 | 6 | |
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| 0.0492 | 6.4913 | 7 | |
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| 0.0296 | 6.5959 | 8 | |
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| 0.0352 | 6.7091 | 9 | |
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| 0.0530 | 6.7985 | 10 | |
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| 0.0265 | 6.9577 | 11 | |
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| 0.0239 | 7.1006 | 12 | |
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| 0.0221 | 7.2133 | 13 | |
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| 0.0171 | 7.3099 | 14 | |
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| 0.0154 | 7.4198 | 15 | |
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| 0.0089 | 7.5009 | 16 | |
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| 0.0268 | 7.4562 | 17 | |
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| 0.0150 | 7.4317 | 18 | |
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| 0.0153 | 7.4442 | 19 | |
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| 0.0076 | 7.4628 | 20 | |
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| 0.0137 | 7.5225 | 21 | |
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| 0.0186 | 7.5907 | 22 | |
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| 0.0078 | 7.6655 | 23 | |
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| 0.0087 | 7.7399 | 24 | |
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| 0.0074 | 7.8006 | 25 | |
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| 0.0082 | 7.8462 | 26 | |
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| 0.0113 | 7.8900 | 27 | |
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| 0.0092 | 7.9273 | 28 | |
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| 0.0075 | 7.9621 | 29 | |
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| 0.0066 | 8.0058 | 30 | |
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| 0.0061 | 8.0359 | 31 | |
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| 0.0058 | 8.0681 | 32 | |
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| 0.0043 | 8.0693 | 33 | |
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| 0.0058 | 8.0939 | 34 | |
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| 0.0066 | 8.0860 | 35 | |
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| 0.0065 | 8.0647 | 36 | |
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| 0.0040 | 8.0451 | 37 | |
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| 0.0039 | 8.0354 | 38 | |
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| 0.0050 | 8.0227 | 39 | |
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| 0.0033 | 8.0230 | 40 | |
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| 0.0049 | 8.0296 | 41 | |
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| 0.0055 | 8.0414 | 42 | |
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| 0.0042 | 8.0576 | 43 | |
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| 0.0035 | 8.0749 | 44 | |
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| 0.0041 | 8.0896 | 45 | |
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| 0.0032 | 8.1037 | 46 | |
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| 0.0037 | 8.1187 | 47 | |
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| 0.0038 | 8.1324 | 48 | |
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| 0.0040 | 8.1458 | 49 | |
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| 0.0046 | 8.1626 | 50 | |
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| 0.0028 | 8.1726 | 51 | |
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| 0.0061 | 8.1180 | 52 | |
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| 0.0043 | 8.0579 | 53 | |
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| 0.0032 | 8.0223 | 54 | |
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| 0.0029 | 8.0125 | 55 | |
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| 0.0068 | 8.0192 | 56 | |
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| 0.0034 | 8.0336 | 57 | |
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| 0.0044 | 8.0478 | 58 | |
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| 0.0025 | 8.0648 | 59 | |
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| 0.0026 | 8.0813 | 60 | |
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| 0.0031 | 8.0949 | 61 | |
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| 0.0024 | 8.1060 | 62 | |
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| 0.0030 | 8.1093 | 63 | |
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| 0.0051 | 8.1350 | 64 | |
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| 0.0046 | 8.1498 | 65 | |
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| 0.0057 | 8.1556 | 66 | |
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| 0.0030 | 8.1641 | 67 | |
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| 0.0038 | 8.1758 | 68 | |
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| 0.0040 | 8.1901 | 69 | |
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| 0.0027 | 8.2013 | 70 | |
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| 0.0036 | 8.2115 | 71 | |
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| 0.0055 | 8.2151 | 72 | |
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| 0.0025 | 8.2120 | 73 | |
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| 0.0026 | 8.2121 | 74 | |
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| 0.0036 | 8.2132 | 75 | |
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| 0.0031 | 8.2141 | 76 | |
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| 0.0023 | 8.2159 | 77 | |
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| 0.0036 | 8.2201 | 78 | |
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| 0.0032 | 8.2284 | 79 | |
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| 0.0025 | 8.2278 | 80 | |
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| 0.0030 | 8.2375 | 81 | |
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| 0.0028 | 8.2451 | 82 | |
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| 0.0023 | 8.2491 | 83 | |
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| 0.0073 | 8.2581 | 84 | |
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| 0.0035 | 8.2639 | 85 | |
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| 0.0024 | 8.2646 | 86 | |
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| 0.0031 | 8.2628 | 87 | |
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| 0.0036 | 8.2641 | 88 | |
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| 0.0025 | 8.2660 | 89 | |
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| 0.0031 | 8.2669 | 90 | |
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| 0.0047 | 8.2678 | 91 | |
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| 0.0021 | 8.2687 | 92 | |
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| 0.0023 | 8.2698 | 93 | |
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| 0.0026 | 8.2710 | 94 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- TensorFlow 2.17.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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