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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: AnnaR/literature_summarizer |
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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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# AnnaR/literature_summarizer |
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This model is a fine-tuned version of [sshleifer/distilbart-xsum-1-1](https://huggingface.co/sshleifer/distilbart-xsum-1-1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 3.2180 |
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- Validation Loss: 4.7198 |
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- Epoch: 10 |
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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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 5300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1} |
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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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| 5.6694 | 5.0234 | 0 | |
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| 4.9191 | 4.8161 | 1 | |
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| 4.5770 | 4.7170 | 2 | |
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| 4.3268 | 4.6571 | 3 | |
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| 4.1073 | 4.6296 | 4 | |
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| 3.9225 | 4.6279 | 5 | |
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| 3.7564 | 4.6288 | 6 | |
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| 3.5989 | 4.6731 | 7 | |
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| 3.4611 | 4.6767 | 8 | |
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| 3.3356 | 4.6934 | 9 | |
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| 3.2180 | 4.7198 | 10 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- TensorFlow 2.8.0 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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