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--- |
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license: apache-2.0 |
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base_model: google/t5-efficient-tiny |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: SouthMemphis/t5-tiny_for_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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# SouthMemphis/t5-tiny_for_summarization |
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This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 4.6068 |
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- Validation Loss: 3.5431 |
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- Train Rouge1: 20.4053 |
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- Train Rouge2: 3.9626 |
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- Train Rougel: 16.3460 |
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- Train Rougelsum: 16.3444 |
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- Train Gen Len: 15.884 |
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- Epoch: 3 |
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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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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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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| 6.2678 | 3.9891 | 17.7562 | 3.0062 | 14.6825 | 14.7004 | 14.717 | 0 | |
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| 5.1618 | 3.7340 | 19.5200 | 3.7088 | 16.1766 | 16.1763 | 15.528 | 1 | |
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| 4.8511 | 3.6247 | 20.1377 | 3.7645 | 16.1460 | 16.1223 | 15.966 | 2 | |
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| 4.6068 | 3.5431 | 20.4053 | 3.9626 | 16.3460 | 16.3444 | 15.884 | 3 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- TensorFlow 2.15.0-dev20230905 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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