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mt5-base-wikinewssum-english-1000
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4724
- Rouge1: 7.7389
- Rouge2: 3.1606
- Rougel: 6.3317
- Rougelsum: 7.2487
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 125 | 2.6981 | 7.1504 | 2.6253 | 5.8261 | 6.7427 |
| No log | 2.0 | 250 | 2.5597 | 7.4666 | 2.9362 | 6.0965 | 6.9699 |
| No log | 3.0 | 375 | 2.5145 | 7.4599 | 2.9449 | 6.0941 | 6.9734 |
| No log | 4.0 | 500 | 2.4904 | 7.5063 | 2.975 | 6.137 | 7.0027 |
| No log | 5.0 | 625 | 2.4904 | 7.6027 | 3.0582 | 6.2161 | 7.0832 |
| No log | 6.0 | 750 | 2.4801 | 7.7601 | 3.1916 | 6.3689 | 7.2686 |
| No log | 7.0 | 875 | 2.4737 | 7.7162 | 3.1332 | 6.3113 | 7.2283 |
| No log | 8.0 | 1000 | 2.4724 | 7.7389 | 3.1606 | 6.3317 | 7.2487 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.1
- Datasets 1.16.1
- Tokenizers 0.10.3
