metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: verizon_model1
results: []
verizon_model1
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: 0.0242
- Accuracy: 1.0
- F1: 1.0
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.458 | 1.0 | 8 | 1.1774 | 0.7451 | 0.6817 |
| 1.1574 | 2.0 | 16 | 0.8376 | 0.7843 | 0.6934 |
| 0.8281 | 3.0 | 24 | 0.6155 | 0.8627 | 0.8055 |
| 0.6272 | 4.0 | 32 | 0.4462 | 0.8824 | 0.8493 |
| 0.4532 | 5.0 | 40 | 0.3344 | 0.9216 | 0.9111 |
| 0.3607 | 6.0 | 48 | 0.2535 | 1.0 | 1.0 |
| 0.2153 | 7.0 | 56 | 0.1961 | 0.9804 | 0.9800 |
| 0.1704 | 8.0 | 64 | 0.1489 | 1.0 | 1.0 |
| 0.1238 | 9.0 | 72 | 0.1116 | 1.0 | 1.0 |
| 0.0998 | 10.0 | 80 | 0.0841 | 1.0 | 1.0 |
| 0.097 | 11.0 | 88 | 0.0642 | 1.0 | 1.0 |
| 0.0751 | 12.0 | 96 | 0.0510 | 1.0 | 1.0 |
| 0.0583 | 13.0 | 104 | 0.0421 | 1.0 | 1.0 |
| 0.0422 | 14.0 | 112 | 0.0350 | 1.0 | 1.0 |
| 0.037 | 15.0 | 120 | 0.0307 | 1.0 | 1.0 |
| 0.0354 | 16.0 | 128 | 0.0282 | 1.0 | 1.0 |
| 0.0336 | 17.0 | 136 | 0.0265 | 1.0 | 1.0 |
| 0.0316 | 18.0 | 144 | 0.0252 | 1.0 | 1.0 |
| 0.0341 | 19.0 | 152 | 0.0244 | 1.0 | 1.0 |
| 0.027 | 20.0 | 160 | 0.0242 | 1.0 | 1.0 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2