metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dummy_bert_model
results: []
dummy_bert_model
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3072
- Accuracy: 0.9174
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2261 | 0.48 | 1000 | 0.2372 | 0.9094 |
| 0.1842 | 0.95 | 2000 | 0.2512 | 0.9083 |
| 0.1099 | 1.43 | 3000 | 0.2975 | 0.8933 |
| 0.1094 | 1.9 | 4000 | 0.3159 | 0.9048 |
| 0.0641 | 2.38 | 5000 | 0.3681 | 0.9151 |
| 0.0576 | 2.85 | 6000 | 0.3072 | 0.9174 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0