my_wikilingua_model_mBart50_trans

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: 2.5850
• Rouge1: 0.3544
• Rouge2: 0.1276
• Rougel: 0.278
• Rougelsum: 0.2781
• Gen Len: 44.4625

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
2.2609	1.0	1600	2.1254	0.2502	0.0868	0.2162	0.2157	61.8925
1.5106	2.0	3200	2.1392	0.3321	0.1205	0.27	0.2696	42.615
1.2338	3.0	4800	2.3200	0.3496	0.128	0.2754	0.2753	42.3075
0.7157	4.0	6400	2.5850	0.3544	0.1276	0.278	0.2781	44.4625

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3