mbart50-ft-si-en

This model was trained from scratch on an unkown dataset. It achieves the following results on the evaluation set:

• Loss: 5.0476

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.98	30	5.6367
No log	1.98	60	4.1221
No log	2.98	90	3.1880
No log	3.98	120	3.1175
No log	4.98	150	3.3575
No log	5.98	180	3.7855
No log	6.98	210	4.3530
No log	7.98	240	4.7216
No log	8.98	270	4.9202
No log	9.98	300	5.0476

Framework versions

• Transformers 4.9.2
• Pytorch 1.6.0
• Datasets 1.11.0
• Tokenizers 0.10.3