dyu-fr-nllb-quantized

This model is a fine-tuned version of barro/dyu-fr-nllb-distilled on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8874

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.5155	1.0	1009	0.8459
0.4838	2.0	2018	0.8570
0.4587	3.0	3027	0.8697
0.4214	4.0	4036	0.8813
0.4093	5.0	5045	0.8874

Framework versions

• Transformers 4.43.4
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1