mt5-base-finetuned-mt5-summarization-task
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: 2.0374
- Rouge1: 6.3413
- Rouge2: 0.7742
- Rougel: 6.3762
- Rougelsum: 6.3936
- Gen Len: 17.5465
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.0273 | 1.0 | 1473 | 2.1479 | 5.8945 | 0.5705 | 5.8537 | 5.9128 | 16.6932 |
| 2.6605 | 2.0 | 2946 | 2.0578 | 6.7115 | 0.762 | 6.6509 | 6.6955 | 17.5501 |
| 2.5505 | 3.0 | 4419 | 2.0374 | 6.3413 | 0.7742 | 6.3762 | 6.3936 | 17.5465 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for shahadalll/mt5-base-finetuned-mt5-summarization-task
Base model
google/mt5-base