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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: Andronius17/answer_text |
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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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# Andronius17/answer_text |
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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: 3.9377 |
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- Validation Loss: 3.9762 |
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- Epoch: 32 |
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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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 84, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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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| 4.1663 | 3.9762 | 0 | |
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| 3.9427 | 3.9762 | 1 | |
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| 3.9499 | 3.9762 | 2 | |
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| 3.9448 | 3.9762 | 3 | |
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| 3.9429 | 3.9762 | 4 | |
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| 3.9460 | 3.9762 | 5 | |
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| 3.9372 | 3.9762 | 6 | |
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| 3.9375 | 3.9762 | 7 | |
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| 3.9359 | 3.9762 | 8 | |
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| 3.9398 | 3.9762 | 9 | |
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| 3.9488 | 3.9762 | 10 | |
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| 3.9429 | 3.9762 | 11 | |
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| 3.9482 | 3.9762 | 12 | |
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| 3.9383 | 3.9762 | 13 | |
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| 3.9415 | 3.9762 | 14 | |
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| 3.9377 | 3.9762 | 15 | |
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| 3.9440 | 3.9762 | 16 | |
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| 3.9415 | 3.9762 | 17 | |
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| 3.9374 | 3.9762 | 18 | |
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| 3.9327 | 3.9762 | 19 | |
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| 3.9477 | 3.9762 | 20 | |
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| 3.9424 | 3.9762 | 21 | |
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| 3.9375 | 3.9762 | 22 | |
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| 3.9419 | 3.9762 | 23 | |
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| 3.9459 | 3.9762 | 24 | |
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| 3.9463 | 3.9762 | 25 | |
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| 3.9410 | 3.9762 | 26 | |
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| 3.9414 | 3.9762 | 27 | |
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| 3.9458 | 3.9762 | 28 | |
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| 3.9479 | 3.9762 | 29 | |
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| 3.9370 | 3.9762 | 30 | |
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| 3.9465 | 3.9762 | 31 | |
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| 3.9377 | 3.9762 | 32 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- TensorFlow 2.12.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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