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t5-small-devices-sum-ver3
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1325
- Rouge1: 95.6631
- Rouge2: 83.6149
- Rougel: 95.6622
- Rougelsum: 95.6632
- Gen Len: 4.9279
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 467 | 0.3307 | 90.9817 | 74.3762 | 90.9596 | 90.9781 | 4.7527 |
| 1.0254 | 2.0 | 934 | 0.2365 | 92.6761 | 78.1252 | 92.6664 | 92.6682 | 4.8004 |
| 0.3526 | 3.0 | 1401 | 0.1904 | 93.8503 | 80.4523 | 93.8286 | 93.8338 | 4.8221 |
| 0.2643 | 4.0 | 1868 | 0.1638 | 94.8079 | 82.1779 | 94.7815 | 94.7853 | 4.917 |
| 0.2075 | 5.0 | 2335 | 0.1503 | 95.1619 | 82.6284 | 95.1533 | 95.1578 | 4.9263 |
| 0.1831 | 6.0 | 2802 | 0.1408 | 95.2357 | 82.8152 | 95.2261 | 95.2263 | 4.9287 |
| 0.161 | 7.0 | 3269 | 0.1386 | 95.4993 | 83.2609 | 95.4935 | 95.4933 | 4.9269 |
| 0.1589 | 8.0 | 3736 | 0.1344 | 95.6363 | 83.4727 | 95.6304 | 95.632 | 4.9309 |
| 0.1517 | 9.0 | 4203 | 0.1330 | 95.6702 | 83.6329 | 95.6669 | 95.6736 | 4.9301 |
| 0.1436 | 10.0 | 4670 | 0.1325 | 95.6631 | 83.6149 | 95.6622 | 95.6632 | 4.9279 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
