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covid-augment-tweet-bert-large-e6-w1-1.5

This model is a fine-tuned version of digitalepidemiologylab/covid-twitter-bert-v2 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.8129
• eval_accuracy: 0.1863
• eval_f1: 0.3141
• eval_precision: 0.1863
• eval_recall: 1.0
• eval_runtime: 26.618
• eval_samples_per_second: 58.269
• eval_steps_per_second: 14.577
• epoch: 4.0
• step: 16356

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: 6

Framework versions

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