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macadeliccc/billsum_T5_small
billsum_T5_small is a machine learning model from macadeliccc. 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.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of t5-small on the billsum 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:
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.8648 | 0.1218 | 0.0313 | 0.103 | 0.1031 | 19.0 |
| No log | 2.0 | 124 | 2.6545 | 0.1287 | 0.0384 | 0.1064 | 0.1065 | 19.0 |
| No log | 3.0 | 186 | 2.5934 | 0.1337 | 0.0432 | 0.1108 | 0.1108 | 19.0 |
| No log | 4.0 | 248 | 2.5762 | 0.133 | 0.0421 | 0.1107 | 0.1106 | 19.0 |