celine98/canine-c-finetuned-sst2

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

canine-c-finetuned-sst2

This model is a fine-tuned version of google/canine-c on the glue dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6025
• —Accuracy: 0.8486

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: 4.9121586874695155e-05
• —trainbatchsize: 32
• —evalbatchsize: 16
• —seed: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.17.0
• —Pytorch 1.10.0+cu111
• —Datasets 2.0.0
• —Tokenizers 0.11.6