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my_awesome_eli5_clm-model
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.3071
- Rouge1: 0.1959
- Rouge2: 0.1013
- Rougel: 0.1685
- Rougelsum: 0.1683
- 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 | 62 | 2.7637 | 0.1277 | 0.0387 | 0.1065 | 0.1066 | 19.0 |
| No log | 2.0 | 124 | 2.5350 | 0.1408 | 0.0506 | 0.1165 | 0.1165 | 19.0 |
| No log | 3.0 | 186 | 2.4431 | 0.1503 | 0.0589 | 0.1245 | 0.1245 | 19.0 |
| No log | 4.0 | 248 | 2.3946 | 0.1774 | 0.0796 | 0.1502 | 0.1501 | 19.0 |
| No log | 5.0 | 310 | 2.3601 | 0.19 | 0.0939 | 0.1631 | 0.1631 | 19.0 |
| No log | 6.0 | 372 | 2.3400 | 0.1952 | 0.0993 | 0.1676 | 0.1676 | 19.0 |
| No log | 7.0 | 434 | 2.3238 | 0.196 | 0.1003 | 0.1682 | 0.1681 | 19.0 |
| No log | 8.0 | 496 | 2.3140 | 0.1973 | 0.1017 | 0.1693 | 0.1692 | 19.0 |
| 2.7599 | 9.0 | 558 | 2.3084 | 0.1957 | 0.1009 | 0.1686 | 0.1682 | 19.0 |
| 2.7599 | 10.0 | 620 | 2.3071 | 0.1959 | 0.1013 | 0.1685 | 0.1683 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
