metadata
base_model: yiyanghkust/finbert-pretrain
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: temp
results: []
temp
This model is a fine-tuned version of yiyanghkust/finbert-pretrain on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8959
- Accuracy: 0.7025
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1172 | 1.0 | 753 | 1.0053 | 0.5396 |
| 0.8259 | 2.0 | 1506 | 0.8250 | 0.6472 |
| 0.6817 | 3.0 | 2259 | 0.8871 | 0.6487 |
| 0.5578 | 4.0 | 3012 | 0.8300 | 0.6891 |
| 0.4379 | 5.0 | 3765 | 0.8959 | 0.7025 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0