metadata
library_name: transformers
base_model: textattack/bert-base-uncased-yelp-polarity
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: DLthon_BERT
results: []
DLthon_BERT
This model is a fine-tuned version of 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