metadata
license: apache-2.0
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: 0.0000
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 229 | 0.0004 |
| No log | 2.0 | 458 | 0.0001 |
| 0.0054 | 3.0 | 687 | 0.0001 |
| 0.0054 | 4.0 | 916 | 0.0000 |
| 0.0001 | 5.0 | 1145 | 0.0000 |
| 0.0001 | 6.0 | 1374 | 0.0000 |
| 0.0 | 7.0 | 1603 | 0.0000 |
| 0.0 | 8.0 | 1832 | 0.0000 |
| 0.0 | 9.0 | 2061 | 0.0000 |
| 0.0 | 10.0 | 2290 | 0.0000 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3