metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: TenaliAI-FinTech-v1
results: []
TenaliAI-FinTech-v1
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: 0.1134
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: 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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 224 | 2.5812 |
| No log | 2.0 | 448 | 1.2454 |
| 2.5217 | 3.0 | 672 | 0.4337 |
| 2.5217 | 4.0 | 896 | 0.1572 |
| 0.4296 | 5.0 | 1120 | 0.1191 |
| 0.4296 | 6.0 | 1344 | 0.1208 |
| 0.0629 | 7.0 | 1568 | 0.1140 |
| 0.0629 | 8.0 | 1792 | 0.1212 |
| 0.0254 | 9.0 | 2016 | 0.1215 |
| 0.0254 | 10.0 | 2240 | 0.1213 |
| 0.0254 | 11.0 | 2464 | 0.1136 |
| 0.0118 | 12.0 | 2688 | 0.1134 |
| 0.0118 | 13.0 | 2912 | 0.1161 |
| 0.0092 | 14.0 | 3136 | 0.1191 |
| 0.0092 | 15.0 | 3360 | 0.1305 |
| 0.0056 | 16.0 | 3584 | 0.1332 |
| 0.0056 | 17.0 | 3808 | 0.1343 |
| 0.0055 | 18.0 | 4032 | 0.1362 |
| 0.0055 | 19.0 | 4256 | 0.1362 |
| 0.0055 | 20.0 | 4480 | 0.1450 |
| 0.0037 | 21.0 | 4704 | 0.1421 |
| 0.0037 | 22.0 | 4928 | 0.1460 |
| 0.003 | 23.0 | 5152 | 0.1472 |
| 0.003 | 24.0 | 5376 | 0.1428 |
| 0.0026 | 25.0 | 5600 | 0.1493 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.0
- Tokenizers 0.19.1