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
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Model tree for DanoSoria/mt5-small-finetuned-mails
Base model
google/mt5-small