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Asif-Sheriff/T5-QG2
T5-QG2 is a machine learning model from Asif-Sheriff. 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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From the Hugging Face model README
This model is a fine-tuned version of Asif-Sheriff/T5-Question-Generation 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 |
|---|---|---|---|
| 0.3112 | 0.0548 | 100 | 1.7491 |
| 0.332 | 0.1095 | 200 | 1.7392 |
| 0.2815 | 0.1643 | 300 | 1.7695 |
| 0.298 | 0.2191 | 400 | 1.8053 |
| 0.2696 | 0.2738 | 500 | 1.8340 |
| 0.2625 | 0.3286 | 600 | 1.8321 |
| 0.2839 | 0.3834 | 700 | 1.8368 |
| 0.2651 | 0.4381 | 800 | 1.8531 |
| 0.2604 | 0.4929 | 900 | 1.8731 |
| 0.2798 | 0.5476 | 1000 | 1.8512 |
| 0.2148 | 0.6024 | 1100 | 1.8821 |
| 0.2603 | 0.6572 | 1200 | 1.8805 |
| 0.2092 | 0.7119 | 1300 | 1.9164 |
| 0.227 | 0.7667 | 1400 | 1.9262 |
| 0.2564 | 0.8215 | 1500 | 1.8991 |
| 0.2446 | 0.8762 | 1600 | 1.9290 |
| 0.2093 | 0.9310 | 1700 | 1.9291 |
| 0.243 | 0.9858 | 1800 | 1.9237 |