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vsamuel/t5_small_ten_epoch
t5_small_ten_epoch is a machine learning model from vsamuel. 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 t5-small on the None 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 | 275 | 2.8863 | 0.1507 | 0.0472 | 0.1346 | 0.1338 | 17.67 |
| 3.0473 | 2.0 | 550 | 2.6258 | 0.2558 | 0.1233 | 0.228 | 0.2293 | 17.49 |
| 3.0473 | 3.0 | 825 | 2.5073 | 0.318 | 0.1732 | 0.2682 | 0.2683 | 17.33 |
| 2.5236 | 4.0 | 1100 | 2.4166 | 0.3364 | 0.1893 | 0.2823 | 0.2822 | 17.25 |
| 2.5236 | 5.0 | 1375 | 2.3721 | 0.3506 | 0.2051 | 0.2927 | 0.2917 | 17.17 |
| 2.3768 | 6.0 | 1650 | 2.3339 | 0.3566 | 0.2101 | 0.2952 | 0.2944 | 17.3 |
| 2.3768 | 7.0 | 1925 | 2.3150 | 0.3546 | 0.2089 | 0.2903 | 0.2899 | 17.46 |
| 2.2982 | 8.0 | 2200 | 2.2954 | 0.3604 | 0.2144 | 0.2947 | 0.2941 | 17.53 |
| 2.2982 | 9.0 | 2475 | 2.2885 | 0.3627 | 0.213 | 0.2955 | 0.2945 | 17.52 |
| 2.2608 | 10.0 | 2750 | 2.2845 | 0.3621 | 0.2114 | 0.2982 | 0.297 | 17.52 |