random_top100
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.6990
- Rouge1: 0.1626
- Rouge2: 0.0339
- Rougel: 0.1405
- Rougelsum: 0.1404
- 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 58 | 17.5159 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| No log | 2.0 | 116 | 14.6617 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| No log | 3.0 | 174 | 9.7296 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| No log | 4.0 | 232 | 9.4582 | 0.0605 | 0.0114 | 0.0585 | 0.059 | 9.0 |
| No log | 5.0 | 290 | 7.3911 | 0.1321 | 0.0136 | 0.1223 | 0.1221 | 19.0 |
| No log | 6.0 | 348 | 6.0032 | 0.1542 | 0.0349 | 0.1313 | 0.1312 | 19.0 |
| No log | 7.0 | 406 | 5.0453 | 0.1542 | 0.0349 | 0.1313 | 0.1312 | 19.0 |
| No log | 8.0 | 464 | 4.8066 | 0.1626 | 0.0339 | 0.1405 | 0.1404 | 19.0 |
| 11.9321 | 9.0 | 522 | 4.7140 | 0.1626 | 0.0339 | 0.1405 | 0.1404 | 19.0 |
| 11.9321 | 10.0 | 580 | 4.6990 | 0.1626 | 0.0339 | 0.1405 | 0.1404 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3