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hasan-mr/t5-small-finetuned-summarization-billsum
t5-small-finetuned-summarization-billsum is a machine learning model from hasan-mr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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9% of all-time downloads
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From the Hugging Face model README
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Train Loss | Validation Loss | Train Rougel | Epoch |
|---|---|---|---|
| 3.3746 | 2.7009 | tf.Tensor(0.10603927, shape=(), dtype=float32) | 0 |
| 2.8289 | 2.5104 | tf.Tensor(0.108828835, shape=(), dtype=float32) | 1 |
| 2.6672 | 2.4200 | tf.Tensor(0.1210279, shape=(), dtype=float32) | 2 |
| 2.5791 | 2.3660 | tf.Tensor(0.129898, shape=(), dtype=float32) | 3 |