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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: gopalkalpande/t5-small-finetuned-bbc-news-summarization |
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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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# gopalkalpande/t5-small-finetuned-bbc-news-summarization |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.7637 |
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- Validation Loss: 0.3528 |
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- Train Rouge1: 19.4783 |
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- Train Rouge2: 13.2994 |
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- Train Rougel: 17.4791 |
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- Train Rougelsum: 17.6204 |
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- Train Gen Len: 19.0 |
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- Epoch: 0 |
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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': 4e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |
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|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
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| 0.7637 | 0.3528 | 19.4783 | 13.2994 | 17.4791 | 17.6204 | 19.0 | 0 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- TensorFlow 2.6.4 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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