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tags:
- generated_from_trainer datasets:
- financial_phrasebank model-index:
- name: test_trainer_1 results: []
test_trainer_1
This model is a fine-tuned version of SALT-NLP/FLANG-Roberta on the financial_phrasebank dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5963
- eval_accuracy: 0.9242
- eval_runtime: 4.3354
- eval_samples_per_second: 97.337
- eval_steps_per_second: 12.225
- step: 0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2 ======= This is a demo model for our reference
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