mt5-small-finetuned-mt5-small-poem4e
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: nan
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: 50
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 121 | nan |
No log | 2.0 | 242 | nan |
No log | 3.0 | 363 | nan |
No log | 4.0 | 484 | nan |
0.0 | 5.0 | 605 | nan |
0.0 | 6.0 | 726 | nan |
0.0 | 7.0 | 847 | nan |
0.0 | 8.0 | 968 | nan |
0.0 | 9.0 | 1089 | nan |
0.0 | 10.0 | 1210 | nan |
0.0 | 11.0 | 1331 | nan |
0.0 | 12.0 | 1452 | nan |
0.0 | 13.0 | 1573 | nan |
0.0 | 14.0 | 1694 | nan |
0.0 | 15.0 | 1815 | nan |
0.0 | 16.0 | 1936 | nan |
0.0 | 17.0 | 2057 | nan |
0.0 | 18.0 | 2178 | nan |
0.0 | 19.0 | 2299 | nan |
0.0 | 20.0 | 2420 | nan |
0.0 | 21.0 | 2541 | nan |
0.0 | 22.0 | 2662 | nan |
0.0 | 23.0 | 2783 | nan |
0.0 | 24.0 | 2904 | nan |
0.0 | 25.0 | 3025 | nan |
0.0 | 26.0 | 3146 | nan |
0.0 | 27.0 | 3267 | nan |
0.0 | 28.0 | 3388 | nan |
0.0 | 29.0 | 3509 | nan |
0.0 | 30.0 | 3630 | nan |
0.0 | 31.0 | 3751 | nan |
0.0 | 32.0 | 3872 | nan |
0.0 | 33.0 | 3993 | nan |
0.0 | 34.0 | 4114 | nan |
0.0 | 35.0 | 4235 | nan |
0.0 | 36.0 | 4356 | nan |
0.0 | 37.0 | 4477 | nan |
0.0 | 38.0 | 4598 | nan |
0.0 | 39.0 | 4719 | nan |
0.0 | 40.0 | 4840 | nan |
0.0 | 41.0 | 4961 | nan |
0.0 | 42.0 | 5082 | nan |
0.0 | 43.0 | 5203 | nan |
0.0 | 44.0 | 5324 | nan |
0.0 | 45.0 | 5445 | nan |
0.0 | 46.0 | 5566 | nan |
0.0 | 47.0 | 5687 | nan |
0.0 | 48.0 | 5808 | nan |
0.0 | 49.0 | 5929 | nan |
0.0 | 50.0 | 6050 | nan |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 2