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pakawadeep/mt5-small-finetuned-ctfl-augmented_1
mt5-small-finetuned-ctfl-augmented_1 is a machine learning model from pakawadeep. 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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From the Hugging Face model README
This model is a fine-tuned version of google/mt5-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 Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 8.5523 | 2.2860 | 1.6090 | 0.0 | 1.6604 | 1.6663 | 15.7871 | 0 |
| 4.1420 | 1.7857 | 4.6205 | 0.4950 | 4.7030 | 4.6865 | 11.6188 | 1 |
| 2.9923 | 1.7701 | 6.5417 | 0.8251 | 6.6832 | 6.5771 | 11.5545 | 2 |
| 2.4291 | 1.6654 | 7.7086 | 2.0792 | 7.7086 | 7.7086 | 11.6832 | 3 |
| 2.0333 | 1.5535 | 8.2037 | 2.0792 | 8.2037 | 8.2037 | 11.8465 | 4 |
| 1.7636 | 1.4446 | 8.2037 | 2.0792 | 8.2037 | 8.2037 | 12.0050 | 5 |
| 1.5480 | 1.3806 | 8.2037 | 2.0792 | 8.2037 | 8.2037 | 11.9059 | 6 |
| 1.3908 | 1.3196 | 8.7871 | 2.3102 | 8.7871 | 8.7871 | 11.9455 | 7 |
| 1.2889 | 1.2768 | 8.7871 | 2.3102 | 8.7871 | 8.7871 | 11.9604 | 8 |
| 1.2174 | 1.2264 | 8.9109 | 2.2772 | 8.9109 | 8.9816 | 11.9406 | 9 |
| 1.1568 | 1.1894 | 8.9816 | 2.4752 | 8.9816 | 8.9816 | 11.9455 | 10 |
| 1.1170 | 1.1385 | 8.9109 | 2.2772 | 8.9109 | 8.9816 | 11.9703 | 11 |
| 1.0717 | 1.1276 | 8.9109 | 2.2772 | 8.9109 | 8.9816 | 11.9653 | 12 |
| 1.0374 | 1.0783 | 8.9109 | 2.2772 | 8.9109 | 8.9816 | 11.9901 | 13 |
| 1.0088 | 1.0528 | 8.9109 | 2.2772 | 8.9109 | 8.9816 | 11.9802 | 14 |
| 0.9806 | 1.0489 | 8.9109 | 2.2772 | 8.9109 | 8.9816 | 11.9802 | 15 |
| 0.9553 | 1.0280 | 8.6987 | 1.7822 | 8.6987 | 8.6987 | 11.9752 | 16 |
| 0.9314 | 1.0122 | 8.6987 | 1.7822 | 8.6987 | 8.6987 | 11.9851 | 17 |
| 0.9104 | 0.9970 | 8.4335 | 1.2871 | 8.4512 | 8.4512 | 11.9554 | 18 |
| 0.8892 | 0.9831 | 8.4335 | 1.2871 | 8.4512 | 8.4512 | 11.9653 | 19 |
| 0.8675 | 0.9631 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9653 | 20 |
| 0.8559 | 0.9618 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9703 | 21 |
| 0.8352 | 0.9623 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9802 | 22 |
| 0.8225 | 0.9465 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9703 | 23 |
| 0.8059 | 0.9465 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9653 | 24 |
| 0.7960 | 0.9388 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9703 | 25 |
| 0.7766 | 0.9386 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9703 | 26 |
| 0.7609 | 0.9429 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9653 | 27 |
| 0.7519 | 0.9256 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9653 | 28 |
| 0.7355 | 0.9162 | 7.8147 | 1.2871 | 7.9562 | 7.9208 | 11.9554 | 29 |