NLLB_QLoRA

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3340
• Bleu: 31.5945
• Rouge: 0.5906
• Gen Len: 17.338

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• 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	Bleu	Rouge	Gen Len
2.858	1.0	875	1.4023	30.5493	0.5771	17.3705
1.4649	2.0	1750	1.3447	31.343	0.5886	17.284
1.4247	3.0	2625	1.3340	31.5945	0.5906	17.338

Framework versions

• PEFT 0.12.0
• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1