mt5-base-mrsum-e27

This model is a fine-tuned version of AmaanDhamaskar/mt5-base-xlmsum-mr-e15 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.7761
• eval_rouge1: 11.6082
• eval_rouge2: 9.982
• eval_rougeL: 11.5371
• eval_rougeLsum: 11.5061
• eval_runtime: 244.9107
• eval_samples_per_second: 6.807
• eval_steps_per_second: 1.703
• epoch: 11.0
• step: 60489

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 12

Framework versions

• Transformers 4.51.1
• Pytorch 2.6.0+cu118
• Datasets 3.5.0
• Tokenizers 0.21.1