paola-md/distil-I-upper

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distil-I-upper

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

• —Loss: 0.6060
• —Rmse: 0.7785
• —Mse: 0.6060
• —Mae: 0.6007

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: 5e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —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