ADL_HW2_MT5
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: 3.5085
- Rouge1: 13.6234
- Rouge2: 4.8107
- Rougel: 13.4828
- Rougelsum: 13.4694
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|
| 6.652 | 1.0 | 340 | 3.9727 | 10.0329 | 3.8308 | 9.954 | 9.9802 |
| 4.5708 | 2.0 | 680 | 3.7827 | 11.1164 | 4.1328 | 11.0046 | 11.0159 |
| 4.3069 | 3.0 | 1020 | 3.6472 | 12.405 | 4.4789 | 12.2766 | 12.308 |
| 4.1563 | 4.0 | 1360 | 3.5830 | 12.6726 | 4.5588 | 12.5504 | 12.5738 |
| 4.0715 | 5.0 | 1700 | 3.5509 | 12.6934 | 4.7831 | 12.5682 | 12.5705 |
| 4.0094 | 6.0 | 2040 | 3.5241 | 13.3107 | 4.8201 | 13.198 | 13.2002 |
| 3.9728 | 7.0 | 2380 | 3.5153 | 13.3888 | 4.7922 | 13.2839 | 13.2947 |
| 3.9505 | 8.0 | 2720 | 3.5085 | 13.6234 | 4.8107 | 13.4828 | 13.4694 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Base model
google/mt5-small