mT5_multilingual_XLSum-finetuned-mlsum-tr

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

• eval_loss: 1.8230
• eval_rouge1: 38.1147
• eval_rouge2: 25.2516
• eval_rougeL: 33.3003
• eval_rougeLsum: 34.7125
• eval_runtime: 810.61
• eval_samples_per_second: 2.853
• eval_steps_per_second: 0.358
• epoch: 4.0
• step: 24928

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: 5.6e-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: 8

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2