metadata
library_name: transformers
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: 0.5468
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 232 | 3.0432 |
| No log | 2.0 | 464 | 1.9526 |
| 3.091 | 3.0 | 696 | 1.2518 |
| 3.091 | 4.0 | 928 | 0.8770 |
| 1.1843 | 5.0 | 1160 | 0.6901 |
| 1.1843 | 6.0 | 1392 | 0.6103 |
| 0.6016 | 7.0 | 1624 | 0.6044 |
| 0.6016 | 8.0 | 1856 | 0.5615 |
| 0.4816 | 9.0 | 2088 | 0.5547 |
| 0.4816 | 10.0 | 2320 | 0.5468 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1