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--- |
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license: cc-by-4.0 |
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tags: |
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- generated_from_keras_callback |
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base_model: allegro/herbert-base-cased |
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model-index: |
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- name: constituency-brackets-20 |
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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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# constituency-brackets-20 |
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This model is a fine-tuned version of [allegro/herbert-base-cased](https://huggingface.co/allegro/herbert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.2020 |
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- Train Acc: 0.9356 |
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- Validation Loss: 0.2929 |
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- Validation Acc: 0.9120 |
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- Epoch: 19 |
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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', 'learning_rate': 5e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Acc | Validation Loss | Validation Acc | Epoch | |
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|:----------:|:---------:|:---------------:|:--------------:|:-----:| |
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| 2.4703 | 0.3783 | 1.4719 | 0.5858 | 0 | |
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| 1.2149 | 0.6600 | 0.8922 | 0.7269 | 1 | |
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| 0.8721 | 0.7343 | 0.6914 | 0.7779 | 2 | |
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| 0.7186 | 0.7715 | 0.6028 | 0.8037 | 3 | |
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| 0.6239 | 0.7987 | 0.5427 | 0.8240 | 4 | |
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| 0.5432 | 0.8342 | 0.4469 | 0.8677 | 5 | |
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| 0.4521 | 0.8665 | 0.4092 | 0.8760 | 6 | |
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| 0.4100 | 0.8761 | 0.3867 | 0.8819 | 7 | |
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| 0.3792 | 0.8855 | 0.3761 | 0.8849 | 8 | |
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| 0.3526 | 0.8926 | 0.3469 | 0.8938 | 9 | |
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| 0.3304 | 0.8981 | 0.3433 | 0.8944 | 10 | |
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| 0.3091 | 0.9049 | 0.3329 | 0.8977 | 11 | |
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| 0.2935 | 0.9081 | 0.3178 | 0.9028 | 12 | |
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| 0.2769 | 0.9138 | 0.3140 | 0.9032 | 13 | |
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| 0.2614 | 0.9173 | 0.2994 | 0.9114 | 14 | |
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| 0.2472 | 0.9213 | 0.2954 | 0.9128 | 15 | |
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| 0.2344 | 0.9260 | 0.2899 | 0.9142 | 16 | |
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| 0.2229 | 0.9292 | 0.2971 | 0.9092 | 17 | |
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| 0.2136 | 0.9322 | 0.2872 | 0.9143 | 18 | |
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| 0.2020 | 0.9356 | 0.2929 | 0.9120 | 19 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- TensorFlow 2.9.2 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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