mt5-small-finetuned-mt5-en

This model is a fine-tuned version of google/mt5-small on the xlsum dataset. It achieves the following results on the evaluation set:

• Loss: 2.8345
• Rouge1: 23.8952
• Rouge2: 5.8792
• Rougel: 18.6495
• Rougelsum: 18.7057

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 10
• total_train_batch_size: 40
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	224	3.0150	24.4639	5.3016	18.3987	18.4963
No log	2.0	448	2.8738	24.5075	5.842	18.8133	18.9072
No log	3.0	672	2.8345	23.8952	5.8792	18.6495	18.7057

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6