mbart-large-50-finetuned-summarization-V2

This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9183
• Rouge1: 50.0118
• Rouge2: 31.3168
• Rougel: 37.6392
• Rougelsum: 45.2287
• Gen Len: 102.3571

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	15	2.0228	51.9711	32.5963	39.9154	48.3431	134.6429
No log	2.0	30	1.9410	48.2977	30.5942	35.9761	43.7634	92.0714
No log	3.0	45	1.9183	50.0118	31.3168	37.6392	45.2287	102.3571

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1