Configuration Parsing Warning: In adapter_config.json: "peft.task_type" must be a string

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
Downloads last month
18
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for caspro/mbart-large-50_Nepali_News_Summarization_QLoRA_4bit

Adapter
(5)
this model

Collection including caspro/mbart-large-50_Nepali_News_Summarization_QLoRA_4bit