mBart50_large_torch

This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.1233
• Rouge1: 0.257
• Rouge2: 0.0718
• Rougel: 0.187
• Rougelsum: 0.1861
• Gen Len: 88.5902

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	140	2.6612	0.0155	0.0045	0.0135	0.0133	183.7541
No log	2.0	280	2.6487	0.1889	0.0497	0.1514	0.1503	88.9508
No log	3.0	420	2.8296	0.2366	0.0693	0.1772	0.1767	84.7705
1.789	4.0	560	3.1233	0.257	0.0718	0.187	0.1861	88.5902

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3