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mbart-large-50_Nepali_News_Summarization_Lora
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0018
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 20.3214
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: 0.0002
- 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: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
2.2609 | 1.0 | 1452 | 2.0617 | 0.0 | 0.0 | 0.0 | 0.0 | 20.8455 |
2.0943 | 2.0 | 2904 | 2.0160 | 0.0 | 0.0 | 0.0 | 0.0 | 19.8772 |
1.9646 | 3.0 | 4356 | 1.9967 | 0.0 | 0.0 | 0.0 | 0.0 | 20.3172 |
1.8849 | 4.0 | 5808 | 2.0015 | 0.0 | 0.0 | 0.0 | 0.0 | 20.3297 |
1.8123 | 5.0 | 7260 | 2.0018 | 0.0 | 0.0 | 0.0 | 0.0 | 20.3214 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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