t5-small-hblastKP
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0138
- Rouge1: 56.1916
- Rouge2: 46.6889
- Rougel: 56.0783
- Rougelsum: 56.1408
- Gen Len: 6.6737
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.2249 | 1.0 | 6222 | 1.0369 | 56.5144 | 47.7112 | 56.4169 | 56.5046 | 7.3609 |
| 1.027 | 2.0 | 12444 | 1.0361 | 55.904 | 46.7622 | 55.7977 | 55.9268 | 6.9696 |
| 0.9344 | 3.0 | 18666 | 1.0188 | 58.2277 | 49.2274 | 58.112 | 58.1932 | 7.1203 |
| 0.8994 | 4.0 | 24888 | 1.0171 | 57.8553 | 48.3674 | 57.7255 | 57.8761 | 6.7841 |
| 0.8559 | 5.0 | 31110 | 1.0138 | 56.1916 | 46.6889 | 56.0783 | 56.1408 | 6.6737 |
| 0.7633 | 6.0 | 37332 | 1.0178 | 58.1465 | 48.3511 | 57.9589 | 58.0973 | 6.8882 |
| 0.7444 | 7.0 | 43554 | 1.0221 | 58.295 | 48.8287 | 58.1788 | 58.2618 | 6.8316 |
| 0.7256 | 8.0 | 49776 | 1.0322 | 58.1448 | 48.5088 | 58.0255 | 58.1326 | 6.9370 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2