twitter-roberta_stanfordnlp_imdb_SetFit_tweet_ep2_bs16_lr2e-05_v3

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twitter-roberta_stanfordnlp_imdb_SetFit_tweet_ep2_bs16_lr2e-05_v3

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2471
• Accuracy: 0.922
• Precision: 0.9213
• Recall: 0.922
• F1: 0.9216

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Framework versions

• Transformers 5.9.0
• Pytorch 2.12.0+cu126
• Datasets 4.8.5
• Tokenizers 0.22.2