email_extractor_model_t5_small
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4229
- Rouge1: 0.5575
- Rouge2: 0.5065
- Rougel: 0.5473
- Rougelsum: 0.5532
- Gen Len: 18.9697
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: 10
- eval_batch_size: 10
- 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 | 13 | 0.5638 | 0.3419 | 0.2711 | 0.3208 | 0.3224 | 19.0 |
| No log | 2.0 | 26 | 0.4783 | 0.4679 | 0.4041 | 0.4451 | 0.446 | 18.9697 |
| No log | 3.0 | 39 | 0.4356 | 0.5394 | 0.4872 | 0.5262 | 0.529 | 18.9697 |
| No log | 4.0 | 52 | 0.4229 | 0.5575 | 0.5065 | 0.5473 | 0.5532 | 18.9697 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1