mymodel_larger_vietnews_10k_2e5_3epoch_batchsize4
This model is a fine-tuned version of VietAI/vit5-large-vietnews-summarization on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9223
- Rouge1: 0.5899
- Rouge2: 0.281
- Rougel: 0.3815
- Rougelsum: 0.3817
- Gen Len: 40.2035
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8242 | 1.0 | 2000 | 1.7603 | 0.5792 | 0.2754 | 0.3786 | 0.3787 | 39.1905 |
| 1.3026 | 2.0 | 4000 | 1.8069 | 0.5884 | 0.2827 | 0.3827 | 0.3828 | 38.768 |
| 0.9538 | 3.0 | 6000 | 1.9223 | 0.5899 | 0.281 | 0.3815 | 0.3817 | 40.2035 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
VietAI/vit5-large-vietnews-summarization