mt5-small_summarization

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

• eval_loss: 16.2603
• eval_rouge1: 3.3146
• eval_rouge2: 0.4282
• eval_rougeL: 2.997
• eval_rougeLsum: 3.1395
• eval_runtime: 7485.5361
• eval_samples_per_second: 0.751
• eval_steps_per_second: 0.376
• step: 0

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-06
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Framework versions

• Transformers 4.37.1
• Pytorch 2.1.2
• Datasets 2.16.1
• Tokenizers 0.15.1