paola-md/distilr-lr1e05-wd0.02-bs32

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distilr-lr1e05-wd0.02-bs32

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

• —Loss: 0.2742
• —Rmse: 0.5236
• —Mse: 0.2742
• —Mae: 0.4137

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: 1e-05
• —trainbatchsize: 256
• —evalbatchsize: 256
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.19.0.dev0
• —Pytorch 1.9.0+cu111
• —Datasets 2.4.0
• —Tokenizers 0.12.1