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