mt5-small-finetuned-samsum-en
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4304
- Rouge1: 21.9966
- Rouge2: 9.1451
- Rougel: 19.532
- Rougelsum: 20.6359
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 | 125 | 4.0396 | 8.9392 | 1.5339 | 8.1146 | 8.538 |
| No log | 2.0 | 250 | 3.0166 | 17.0822 | 6.0564 | 15.1854 | 16.2353 |
| No log | 3.0 | 375 | 2.7375 | 18.9169 | 7.0912 | 16.8087 | 17.7473 |
| No log | 4.0 | 500 | 2.5996 | 20.5929 | 7.8755 | 18.2074 | 19.3914 |
| No log | 5.0 | 625 | 2.5095 | 21.1958 | 8.7027 | 18.8919 | 19.9921 |
| No log | 6.0 | 750 | 2.4641 | 21.2479 | 8.8452 | 18.9289 | 19.9557 |
| No log | 7.0 | 875 | 2.4341 | 22.1418 | 9.1294 | 19.6073 | 20.7666 |
| No log | 8.0 | 1000 | 2.4304 | 21.9966 | 9.1451 | 19.532 | 20.6359 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1