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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Regression_bert_1 |
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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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# Regression_bert_1 |
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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: 0.1363 |
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- Train Mae: 0.2288 |
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- Train Mse: 0.0928 |
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- Train R2-score: 0.8065 |
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- Validation Loss: 0.0994 |
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- Validation Mae: 0.2297 |
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- Validation Mse: 0.0947 |
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- Validation R2-score: 0.8577 |
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- Epoch: 9 |
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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': 1e-04, '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 Mae | Train Mse | Train R2-score | Validation Loss | Validation Mae | Validation Mse | Validation R2-score | Epoch | |
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|:----------:|:---------:|:---------:|:--------------:|:---------------:|:--------------:|:--------------:|:-------------------:|:-----:| |
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| 0.4890 | 0.3421 | 0.1734 | 0.1995 | 0.1833 | 0.3662 | 0.1820 | 0.8574 | 0 | |
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| 0.1771 | 0.3049 | 0.1526 | 0.7380 | 0.1715 | 0.3553 | 0.1701 | 0.8642 | 1 | |
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| 0.1563 | 0.2820 | 0.1337 | 0.7278 | 0.1823 | 0.3662 | 0.1810 | 0.8577 | 2 | |
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| 0.1578 | 0.2739 | 0.1288 | 0.7954 | 0.1689 | 0.3535 | 0.1674 | 0.8641 | 3 | |
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| 0.2301 | 0.3034 | 0.1383 | 0.7186 | 0.1158 | 0.3132 | 0.1136 | 0.8866 | 4 | |
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| 0.2067 | 0.2768 | 0.1203 | 0.6568 | 0.1462 | 0.3375 | 0.1445 | 0.8772 | 5 | |
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| 0.1631 | 0.2726 | 0.1200 | 0.7418 | 0.1646 | 0.3473 | 0.1632 | 0.8659 | 6 | |
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| 0.1689 | 0.2843 | 0.1269 | 0.4797 | 0.0993 | 0.2797 | 0.0972 | 0.8961 | 7 | |
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| 0.1756 | 0.2115 | 0.0726 | 0.8657 | 0.1047 | 0.2537 | 0.1027 | 0.8923 | 8 | |
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| 0.1363 | 0.2288 | 0.0928 | 0.8065 | 0.0994 | 0.2297 | 0.0947 | 0.8577 | 9 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- TensorFlow 2.11.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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