cric-tweets-sentiment-analysis

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cric-tweets-sentiment-analysis

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on 3000 pre-match cricket tweets.

Note: Here Label_1 indicates positive, and Label_0 indicates negative

It achieves the following results on the test set:

• F1 Score: 95.3%
• Precision: 93.9%
• Recall: 96.7%
• Accuracy: 92.2%

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 223
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 200

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2