first_sentences_based_model
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2821
- Rouge1: 0.2693
- Rouge2: 0.1679
- Rougel: 0.2565
- Rougelsum: 0.2559
- Gen Len: 19.0
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 | 106 | 3.0079 | 0.1316 | 0.0477 | 0.1134 | 0.1133 | 19.0 |
| No log | 2.0 | 212 | 2.6733 | 0.2296 | 0.1302 | 0.2121 | 0.2121 | 19.0 |
| No log | 3.0 | 318 | 2.5159 | 0.2535 | 0.1472 | 0.2367 | 0.2371 | 19.0 |
| No log | 4.0 | 424 | 2.4352 | 0.2588 | 0.153 | 0.244 | 0.2438 | 19.0 |
| 3.0707 | 5.0 | 530 | 2.3773 | 0.2654 | 0.1624 | 0.2515 | 0.2515 | 19.0 |
| 3.0707 | 6.0 | 636 | 2.3391 | 0.2624 | 0.1607 | 0.2499 | 0.2495 | 19.0 |
| 3.0707 | 7.0 | 742 | 2.3124 | 0.2672 | 0.1662 | 0.2542 | 0.2538 | 19.0 |
| 3.0707 | 8.0 | 848 | 2.2952 | 0.2688 | 0.1677 | 0.2557 | 0.255 | 19.0 |
| 3.0707 | 9.0 | 954 | 2.2854 | 0.2692 | 0.1689 | 0.2567 | 0.2562 | 19.0 |
| 2.5484 | 10.0 | 1060 | 2.2821 | 0.2693 | 0.1679 | 0.2565 | 0.2559 | 19.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
google-t5/t5-small