t5-small-enterpret-finetuned
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3499
- Rouge1: 0.3212
- Rouge2: 0.1859
- Rougel: 0.2925
- Rougelsum: 0.2931
- Gen Len: 18.4938
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 242 | 2.6522 | 0.2714 | 0.1292 | 0.2426 | 0.2432 | 18.0289 |
| No log | 2.0 | 484 | 2.4516 | 0.3076 | 0.1712 | 0.2799 | 0.2804 | 18.4618 |
| 2.9667 | 3.0 | 726 | 2.3734 | 0.3172 | 0.1827 | 0.2891 | 0.2897 | 18.4659 |
| 2.9667 | 4.0 | 968 | 2.3499 | 0.3212 | 0.1859 | 0.2925 | 0.2931 | 18.4938 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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Base model
google-t5/t5-small