financial-twhin-bert-large-3labels
This model is a fine-tuned version of Twitter/twhin-bert-large on finance related tweets. It achieves the following results on the evaluation set:
- Loss: 0.2959
- Accuracy: 0.8934
- F1: 0.8943
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: 2.0998212817984933e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for kekunh/financial-twhin-bert-large-3labels
Base model
Twitter/twhin-bert-large