mt5-base_Nepali_News_Summarization_QLoRA_4bit

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge-1 R: 0.0
• Rouge-1 P: 0.0
• Rouge-1 F: 0.0
• Rouge-2 R: 0.0
• Rouge-2 P: 0.0
• Rouge-2 F: 0.0
• Rouge-l R: 0.0
• Rouge-l P: 0.0
• Rouge-l F: 0.0
• Gen Len: 0.0

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

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
0.0	1.0	10191	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0	2.0	20382	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0	3.0	30573	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0

Framework versions

• PEFT 0.12.0
• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1