tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
base_model: FinanceInc/finbert-pretrain | |
model-index: | |
- name: test_trainer | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# test_trainer | |
This model is a fine-tuned version of [FinanceInc/finbert-pretrain](https://huggingface.co/FinanceInc/finbert-pretrain) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 9.5916 | |
- Accuracy: 0.0001 | |
## 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: 40 | |
- eval_batch_size: 40 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3.0 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| 9.6334 | 1.0 | 2975 | 9.6220 | 0.0001 | | |
| 9.6098 | 2.0 | 5950 | 9.6034 | 0.0001 | | |
| 9.6041 | 3.0 | 8925 | 9.5916 | 0.0001 | | |
### Framework versions | |
- Transformers 4.26.1 | |
- Pytorch 1.13.1+cu116 | |
- Datasets 2.10.0 | |
- Tokenizers 0.13.2 | |