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--- |
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license: mit |
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base_model: w11wo/indonesian-roberta-base-posp-tagger |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: tunarebus/indonesian-roberta-base-posp-tagger-finetuned-tweet_pemilu2024 |
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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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# tunarebus/indonesian-roberta-base-posp-tagger-finetuned-tweet_pemilu2024 |
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This model is a fine-tuned version of [w11wo/indonesian-roberta-base-posp-tagger](https://huggingface.co/w11wo/indonesian-roberta-base-posp-tagger) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 4.6139 |
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- Validation Loss: 4.5342 |
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- Epoch: 29 |
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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': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -969, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 11.7870 | 11.4348 | 0 | |
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| 10.8383 | 10.1366 | 1 | |
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| 9.6098 | 9.0621 | 2 | |
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| 8.7602 | 8.2954 | 3 | |
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| 8.0949 | 7.7276 | 4 | |
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| 7.6334 | 7.2756 | 5 | |
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| 7.3192 | 7.0363 | 6 | |
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| 7.1297 | 6.8447 | 7 | |
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| 6.8798 | 6.6169 | 8 | |
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| 6.6715 | 6.4639 | 9 | |
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| 6.5429 | 6.3752 | 10 | |
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| 6.4095 | 6.2620 | 11 | |
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| 6.2638 | 6.1581 | 12 | |
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| 6.1540 | 5.9689 | 13 | |
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| 6.0265 | 5.8920 | 14 | |
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| 5.8897 | 5.7454 | 15 | |
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| 5.8217 | 5.6647 | 16 | |
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| 5.6666 | 5.4978 | 17 | |
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| 5.5835 | 5.4511 | 18 | |
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| 5.4664 | 5.3607 | 19 | |
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| 5.4165 | 5.2142 | 20 | |
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| 5.2469 | 5.0818 | 21 | |
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| 5.2076 | 5.0844 | 22 | |
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| 5.0905 | 4.9672 | 23 | |
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| 4.9729 | 4.9139 | 24 | |
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| 4.8886 | 4.8487 | 25 | |
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| 4.8239 | 4.7208 | 26 | |
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| 4.7037 | 4.6975 | 27 | |
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| 4.6815 | 4.5338 | 28 | |
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| 4.6139 | 4.5342 | 29 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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