SA-tweet-roberta-large-e12-w1-2.5

This model is a fine-tuned version of Amalq/autotrain-smm4h_large_roberta_clean-874027878 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.6409
• eval_accuracy: 0.928
• eval_f1: 0.9365
• eval_precision: 0.9316
• eval_recall: 0.9415
• eval_runtime: 52.3038
• eval_samples_per_second: 19.119
• eval_steps_per_second: 4.78
• epoch: 11.0
• step: 13343

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 12

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3