Adamas23/mt5-base-finetuned-onet

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mt5-base-finetuned-onet

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

• —Loss: nan
• —Rouge1: 6.336
• —Rouge2: 0.8465
• —Rougel: 5.8139
• —Rougelsum: 5.894
• —Gen Len: 13.204

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: 2e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.36.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.16.1
• —Tokenizers 0.15.0