julien-c/reactiongif-roberta

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model

This model is a fine-tuned version of distilroberta-base on an unkown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.9150
• —Accuracy: 0.2662

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: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.7.0.dev0
• —Pytorch 1.8.1+cu102
• —Datasets 1.8.0
• —Tokenizers 0.10.3