mt5-small-finetuned-mails

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mt5-small-finetuned-mails

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0592
• eval_rouge1: 71.2948
• eval_rouge2: 67.7633
• eval_rougeL: 71.2282
• eval_rougeLsum: 71.2162
• eval_runtime: 1259.4768
• eval_samples_per_second: 15.43
• eval_steps_per_second: 1.929
• epoch: 7.8728
• step: 76500

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 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1