license: apache-2.0 | |
base_model: bert-base-cased | |
tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
model-index: | |
- name: test_trainer | |
results: [] | |
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# test_trainer | |
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.6922 | |
- Accuracy: 0.535 | |
## 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: 2 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| No log | 1.0 | 25 | 0.6923 | 0.53 | | |
| No log | 2.0 | 50 | 0.6922 | 0.535 | | |
### Framework versions | |
- Transformers 4.43.2 | |
- Pytorch 2.4.0 | |
- Datasets 2.20.0 | |
- Tokenizers 0.19.1 | |