metadata
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dnd_en
results: []
dnd_en
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3371
- Accuracy: 0.8947
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 15 | 0.4992 | 0.8421 |
| No log | 2.0 | 30 | 0.4656 | 0.8772 |
| No log | 3.0 | 45 | 0.4444 | 0.8596 |
| No log | 4.0 | 60 | 0.4205 | 0.8596 |
| No log | 5.0 | 75 | 0.4017 | 0.8596 |
| No log | 6.0 | 90 | 0.3841 | 0.8772 |
| No log | 7.0 | 105 | 0.3707 | 0.8772 |
| No log | 8.0 | 120 | 0.3595 | 0.8947 |
| No log | 9.0 | 135 | 0.3489 | 0.8947 |
| No log | 10.0 | 150 | 0.3425 | 0.8947 |
| No log | 11.0 | 165 | 0.3385 | 0.8947 |
| No log | 12.0 | 180 | 0.3371 | 0.8947 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.13.2