hawalurahman/idt5-base-ae_adapter

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idt5-base-ae_adapter

This model is a fine-tuned version of muchad/idt5-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1132
• —Rouge1: 0.3358
• —Rouge2: 0.1831
• —Rougel: 0.3088
• —Rougelsum: 0.3109
• —Bleu: 0.1408

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: 0.0001
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.13.2
• —Transformers 4.45.1
• —Pytorch 2.4.0
• —Datasets 3.0.1
• —Tokenizers 0.20.0