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: 0.1036
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 | 5 | 3.7387 |
| No log | 2.0 | 10 | 2.9893 |
| No log | 3.0 | 15 | 2.2801 |
| No log | 4.0 | 20 | 1.5800 |
| No log | 5.0 | 25 | 1.0965 |
| No log | 6.0 | 30 | 0.6867 |
| No log | 7.0 | 35 | 0.4281 |
| No log | 8.0 | 40 | 0.2627 |
| No log | 9.0 | 45 | 0.1625 |
| No log | 10.0 | 50 | 0.1036 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1