library_name: transformers | |
base_model: textattack/bert-base-uncased-yelp-polarity | |
tags: | |
- generated_from_trainer | |
metrics: | |
- f1 | |
model-index: | |
- name: DLthon_BERT | |
results: [] | |
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# DLthon_BERT | |
This model is a fine-tuned version of [textattack/bert-base-uncased-yelp-polarity](https://huggingface.co/textattack/bert-base-uncased-yelp-polarity) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.4843 | |
- F1: 0.0651 | |
## 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: 0.01 | |
- train_batch_size: 32 | |
- eval_batch_size: 32 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 2 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | F1 | | |
|:-------------:|:-----:|:----:|:---------------:|:------:| | |
| No log | 1.0 | 109 | 1.5636 | 0.0651 | | |
| No log | 2.0 | 218 | 1.4843 | 0.0651 | | |
### Framework versions | |
- Transformers 4.44.2 | |
- Pytorch 2.4.1+cu121 | |
- Tokenizers 0.19.1 | |