phobert_shared-vietnews
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4872
- Rouge1: 47.252
- Rouge2: 12.3801
- Rougel: 27.9535
- Rougelsum: 31.1165
- Gen Len: 25.3494
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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 |
---|---|---|---|---|---|---|---|---|
4.1717 | 1.0 | 619 | 3.7817 | 46.287 | 10.7692 | 27.3606 | 30.4956 | 25.2656 |
3.6535 | 2.0 | 1239 | 3.5421 | 46.9278 | 11.7595 | 27.5206 | 30.7512 | 25.9089 |
3.434 | 3.0 | 1857 | 3.4872 | 47.252 | 12.3801 | 27.9535 | 31.1165 | 25.3494 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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