This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on the Twitter Sentiment Datasets dataset.
It achieves the following results on the evaluation set:
Loss: 0.4612
Accuracy: 0.8139
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: 1.5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
