metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased_LOGIC_Native
results: []
bert-base-uncased_LOGIC_Native
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7437
- Accuracy: 0.61
- Macro Precision: 0.5758
- Macro F1: 0.5770
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro Precision | Macro F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 116 | 2.3493 | 0.2433 | 0.3585 | 0.2208 |
| No log | 2.0 | 232 | 1.9408 | 0.4267 | 0.4271 | 0.3717 |
| No log | 3.0 | 348 | 1.6372 | 0.4733 | 0.4433 | 0.4383 |
| No log | 4.0 | 464 | 1.5114 | 0.59 | 0.5677 | 0.5507 |
| 1.7294 | 5.0 | 580 | 1.4359 | 0.6 | 0.5738 | 0.5761 |
| 1.7294 | 6.0 | 696 | 1.4476 | 0.6133 | 0.5913 | 0.5806 |
| 1.7294 | 7.0 | 812 | 1.4863 | 0.6133 | 0.5784 | 0.5823 |
| 1.7294 | 8.0 | 928 | 1.5494 | 0.63 | 0.5924 | 0.5903 |
| 0.3290 | 9.0 | 1044 | 1.6099 | 0.61 | 0.5733 | 0.5776 |
| 0.3290 | 10.0 | 1160 | 1.6845 | 0.6167 | 0.5809 | 0.5817 |
| 0.3290 | 11.0 | 1276 | 1.7364 | 0.6233 | 0.5811 | 0.5848 |
| 0.3290 | 12.0 | 1392 | 1.7437 | 0.61 | 0.5758 | 0.5770 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2