results_mt5_xl-sum_new

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1566

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.2671	1.7058	500	1.1705
1.2374	3.4115	1000	1.1640
1.222	5.1173	1500	1.1602
1.2051	6.8230	2000	1.1569
1.1955	8.5288	2500	1.1566

Framework versions

• Transformers 4.40.0
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1