<!-- 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-base-torch
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0425
- Rouge1: 0.0824
- Rouge2: 0.011
- Rougel: 0.0721
- Rougelsum: 0.0721
- Gen Len: 18.2575
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.199 | 1.0 | 1600 | 3.1896 | 0.0865 | 0.0116 | 0.0746 | 0.0746 | 18.06 |
| 3.8499 | 2.0 | 3200 | 3.1142 | 0.0905 | 0.0109 | 0.0773 | 0.0774 | 18.1925 |
| 3.6877 | 3.0 | 4800 | 3.0694 | 0.083 | 0.0113 | 0.0719 | 0.0719 | 18.44 |
| 3.571 | 4.0 | 6400 | 3.0425 | 0.0824 | 0.011 | 0.0721 | 0.0721 | 18.2575 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
