metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: TenaliAI-Banking-v1
results: []
TenaliAI-Banking-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: 0.4832
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: 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 |
---|---|---|---|
1.0141 | 1.0 | 3229 | 0.8505 |
0.5894 | 2.0 | 6458 | 0.5827 |
0.505 | 3.0 | 9687 | 0.5536 |
0.4528 | 4.0 | 12916 | 0.5003 |
0.4438 | 5.0 | 16145 | 0.4981 |
0.4142 | 6.0 | 19374 | 0.4867 |
0.4055 | 7.0 | 22603 | 0.4881 |
0.3754 | 8.0 | 25832 | 0.4858 |
0.3923 | 9.0 | 29061 | 0.4877 |
0.3644 | 10.0 | 32290 | 0.4845 |
0.375 | 11.0 | 35519 | 0.4832 |
0.3616 | 12.0 | 38748 | 0.5111 |
0.3586 | 13.0 | 41977 | 0.5285 |
0.3508 | 14.0 | 45206 | 0.5084 |
0.3572 | 15.0 | 48435 | 0.5134 |
0.3497 | 16.0 | 51664 | 0.5092 |
0.3431 | 17.0 | 54893 | 0.5354 |
0.3362 | 18.0 | 58122 | 0.5221 |
0.3582 | 19.0 | 61351 | 0.5250 |
0.3442 | 20.0 | 64580 | 0.5362 |
0.3299 | 21.0 | 67809 | 0.5433 |
0.3148 | 22.0 | 71038 | 0.5425 |
0.347 | 23.0 | 74267 | 0.5520 |
0.3233 | 24.0 | 77496 | 0.5601 |
0.3163 | 25.0 | 80725 | 0.5510 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1