TenaliAI-FinTech-v1
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4282
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 | 238 | 3.2105 |
| No log | 2.0 | 476 | 2.1084 |
| 3.2718 | 3.0 | 714 | 1.3787 |
| 3.2718 | 4.0 | 952 | 0.9220 |
| 1.3936 | 5.0 | 1190 | 0.6723 |
| 1.3936 | 6.0 | 1428 | 0.5571 |
| 0.6544 | 7.0 | 1666 | 0.5076 |
| 0.6544 | 8.0 | 1904 | 0.4473 |
| 0.4653 | 9.0 | 2142 | 0.4361 |
| 0.4653 | 10.0 | 2380 | 0.4282 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 86
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.