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--- |
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license: apache-2.0 |
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base_model: distilbert-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: tunarebus/distilbert-base-uncased-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/distilbert-base-uncased-finetuned-tweet_pemilu2024 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-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: 2.5045 |
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- Validation Loss: 2.4250 |
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- Epoch: 24 |
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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': -931, '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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| 4.9932 | 4.6882 | 0 | |
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| 4.6678 | 4.3954 | 1 | |
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| 4.4076 | 4.1306 | 2 | |
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| 4.1610 | 3.8876 | 3 | |
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| 3.9036 | 3.6392 | 4 | |
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| 3.6549 | 3.4398 | 5 | |
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| 3.4439 | 3.2595 | 6 | |
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| 3.3055 | 3.0760 | 7 | |
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| 3.1307 | 2.8918 | 8 | |
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| 2.9749 | 2.8005 | 9 | |
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| 2.8441 | 2.7331 | 10 | |
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| 2.7790 | 2.6070 | 11 | |
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| 2.6932 | 2.5804 | 12 | |
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| 2.6181 | 2.4717 | 13 | |
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| 2.5241 | 2.4091 | 14 | |
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| 2.4900 | 2.4074 | 15 | |
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| 2.5065 | 2.4340 | 16 | |
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| 2.4976 | 2.4425 | 17 | |
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| 2.4894 | 2.4307 | 18 | |
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| 2.5294 | 2.4356 | 19 | |
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| 2.4649 | 2.4002 | 20 | |
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| 2.5011 | 2.4172 | 21 | |
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| 2.5083 | 2.4533 | 22 | |
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| 2.4822 | 2.4224 | 23 | |
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| 2.5045 | 2.4250 | 24 | |
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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 2.15.0 |
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- Tokenizers 0.15.0 |
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