This model is a fine-tuned version of gchhablani/bert-base-cased-finetuned-rte on the tweet_eval dataset.
It achieves the following results on the evaluation set:
accuracy: 0.6607
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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
