le-fine-tune-mt5-base

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le-fine-tune-mt5-base

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

• Loss: 2.6590
• Rouge1: 0.1555
• Rouge2: 0.065
• Rougel: 0.1489
• Rougelsum: 0.149
• Gen Len: 18.9858

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: 0.0014142135623730952
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.3
• num_epochs: 8

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2