<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
mt5-small-finetuned-11feb-1
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: 2.5110
- Rouge1: 17.54
- Rouge2: 5.46
- Rougel: 17.42
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: 0.0001
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|
| 5.4156 | 1.0 | 311 | 2.6628 | 15.35 | 5.18 | 15.25 |
| 3.366 | 2.0 | 622 | 2.5576 | 16.92 | 5.18 | 16.8 |
| 3.1718 | 3.0 | 933 | 2.5174 | 16.96 | 5.48 | 16.83 |
| 3.0648 | 4.0 | 1244 | 2.5021 | 17.32 | 5.34 | 17.12 |
| 3.0095 | 5.0 | 1555 | 2.5110 | 17.54 | 5.46 | 17.42 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
