ntu_adl_summarization_mt5_s
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: 3.6583
- Rouge-1: 21.9729
- Rouge-2: 7.6735
- Rouge-l: 19.7497
- Ave Gen Len: 17.3098
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 | Rouge-1 | Rouge-2 | Rouge-l | Ave Gen Len |
|---|---|---|---|---|---|---|---|
| 5.4447 | 1.0 | 1357 | 4.1235 | 17.7916 | 5.9785 | 16.5599 | 12.7161 |
| 4.7463 | 2.0 | 2714 | 3.9569 | 19.6608 | 6.7631 | 18.0768 | 14.8245 |
| 4.5203 | 3.0 | 4071 | 3.8545 | 20.5626 | 7.0737 | 18.7628 | 16.3307 |
| 4.4285 | 4.0 | 5428 | 3.7825 | 21.0690 | 7.2030 | 19.0863 | 16.7841 |
| 4.3196 | 5.0 | 6785 | 3.7269 | 21.2881 | 7.3307 | 19.2588 | 16.9276 |
| 4.2662 | 6.0 | 8142 | 3.7027 | 21.5793 | 7.5122 | 19.4806 | 17.0333 |
| 4.2057 | 7.0 | 9499 | 3.6764 | 21.7949 | 7.5987 | 19.6082 | 17.1811 |
| 4.1646 | 8.0 | 10856 | 3.6671 | 21.8164 | 7.5705 | 19.6207 | 17.2550 |
| 4.1399 | 9.0 | 12213 | 3.6602 | 21.9381 | 7.6577 | 19.7089 | 17.3014 |
| 4.1479 | 10.0 | 13570 | 3.6583 | 21.9729 | 7.6735 | 19.7497 | 17.3098 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Downloads last month
- 17
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for xjlulu/ntu_adl_summarization_mt5_s
Base model
google/mt5-small