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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: edyfjm07/distilbert-base-uncased-QA4-finetuned-squad-es |
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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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# edyfjm07/distilbert-base-uncased-QA4-finetuned-squad-es |
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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: 0.3325 |
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- Train End Logits Accuracy: 0.8550 |
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- Train Start Logits Accuracy: 0.9097 |
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- Validation Loss: 1.1519 |
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- Validation End Logits Accuracy: 0.7429 |
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- Validation Start Logits Accuracy: 0.7900 |
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- Epoch: 13 |
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 5474, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch | |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:| |
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| 3.8949 | 0.1733 | 0.1891 | 2.4981 | 0.3918 | 0.3981 | 0 | |
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| 2.0479 | 0.4097 | 0.4811 | 1.6575 | 0.4890 | 0.6113 | 1 | |
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| 1.4343 | 0.5599 | 0.6166 | 1.3371 | 0.5768 | 0.6426 | 2 | |
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| 1.0892 | 0.6313 | 0.6891 | 1.1850 | 0.6677 | 0.6865 | 3 | |
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| 0.9172 | 0.6870 | 0.7405 | 1.1305 | 0.6771 | 0.7335 | 4 | |
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| 0.7470 | 0.7258 | 0.7910 | 1.0674 | 0.7147 | 0.7524 | 5 | |
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| 0.6728 | 0.7426 | 0.8088 | 1.0843 | 0.7116 | 0.7680 | 6 | |
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| 0.5989 | 0.7721 | 0.8403 | 1.0787 | 0.7304 | 0.7649 | 7 | |
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| 0.4988 | 0.8057 | 0.8582 | 1.1091 | 0.7398 | 0.7618 | 8 | |
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| 0.4674 | 0.8214 | 0.8540 | 1.1150 | 0.7367 | 0.7774 | 9 | |
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| 0.4173 | 0.8256 | 0.8782 | 1.1434 | 0.7335 | 0.7774 | 10 | |
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| 0.3804 | 0.8319 | 0.8897 | 1.1256 | 0.7335 | 0.7900 | 11 | |
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| 0.3831 | 0.8456 | 0.8834 | 1.1614 | 0.7429 | 0.7931 | 12 | |
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| 0.3325 | 0.8550 | 0.9097 | 1.1519 | 0.7429 | 0.7900 | 13 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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