metadata
base_model: facebook/mbart-large-50
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: mbart-large-50_Nepali_News_Summarization_QLoRA_4bit
results: []
mbart-large-50_Nepali_News_Summarization_QLoRA_4bit
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: 1.3739
- Rouge-1 R: 0.3816
- Rouge-1 P: 0.389
- Rouge-1 F: 0.3751
- Rouge-2 R: 0.2142
- Rouge-2 P: 0.2189
- Rouge-2 F: 0.2093
- Rouge-l R: 0.3711
- Rouge-l P: 0.3779
- Rouge-l F: 0.3646
- Gen Len: 14.1121
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: 0.0005
- train_batch_size: 5
- eval_batch_size: 5
- 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 | Rouge-1 R | Rouge-1 P | Rouge-1 F | Rouge-2 R | Rouge-2 P | Rouge-2 F | Rouge-l R | Rouge-l P | Rouge-l F | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.5617 | 1.0 | 10191 | 1.4589 | 0.3552 | 0.3834 | 0.3572 | 0.1923 | 0.21 | 0.1926 | 0.3456 | 0.3728 | 0.3474 | 13.6645 |
| 1.42 | 2.0 | 20382 | 1.3993 | 0.3674 | 0.3858 | 0.3661 | 0.2047 | 0.2159 | 0.2029 | 0.3581 | 0.3758 | 0.3568 | 13.7819 |
| 1.2407 | 3.0 | 30573 | 1.3739 | 0.3816 | 0.389 | 0.3751 | 0.2142 | 0.2189 | 0.2093 | 0.3711 | 0.3779 | 0.3646 | 14.1121 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1