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t5-finetuned-NYT
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2519
- Rouge1: 45.692
- Rouge2: 32.1167
- Rougel: 44.3548
- Rougelsum: 44.3959
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 2516 | 2.4293 | 38.1445 | 25.9377 | 36.5758 | 36.6165 |
| No log | 2.0 | 5032 | 2.3661 | 40.356 | 27.7563 | 38.993 | 39.036 |
| No log | 3.0 | 7548 | 2.3225 | 43.6557 | 30.2246 | 42.2529 | 42.2804 |
| No log | 4.0 | 10064 | 2.2852 | 43.7584 | 30.4744 | 42.3437 | 42.3871 |
| No log | 5.0 | 12580 | 2.2677 | 45.6522 | 32.0921 | 44.311 | 44.3587 |
| No log | 6.0 | 15096 | 2.2598 | 45.4426 | 31.7845 | 44.1273 | 44.1394 |
| No log | 7.0 | 17612 | 2.2529 | 45.6841 | 32.1469 | 44.3355 | 44.37 |
| 3.2998 | 8.0 | 20128 | 2.2519 | 45.692 | 32.1167 | 44.3548 | 44.3959 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
