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madanagrawal/summarization_model
summarization_model is a machine learning model from madanagrawal. 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. --
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.safetensors242 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of google-t5/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:
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.7359 | 0.123 | 0.0372 | 0.1042 | 0.104 | 19.0 |
| No log | 2.0 | 124 | 2.5299 | 0.1337 | 0.0498 | 0.1121 | 0.1122 | 19.0 |
| No log | 3.0 | 186 | 2.4669 | 0.1354 | 0.0509 | 0.1138 | 0.1139 | 19.0 |
| No log | 4.0 | 248 | 2.4501 | 0.138 | 0.0529 | 0.1162 | 0.1161 | 19.0 |