mT5_multilingual_XLSum-finetuned-summarization-V2

This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5523
• Rouge1: 25.8727
• Rouge2: 16.1688
• Rougel: 19.8093
• Rougelsum: 23.4429
• Gen Len: 34.4286

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	13	1.8850	23.9901	12.4882	17.2823	20.8977	31.2857
No log	2.0	26	1.5894	25.1547	14.8857	19.2203	22.9079	31.8571
No log	3.0	39	1.5523	25.8727	16.1688	19.8093	23.4429	34.4286

Framework versions

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