TenaliAI-FinTech-v1 / README.md
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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: TenaliAI-FinTech-v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# TenaliAI-FinTech-v1
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1268
## 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 | 3.3202 |
| No log | 2.0 | 10 | 2.5692 |
| No log | 3.0 | 15 | 1.9134 |
| No log | 4.0 | 20 | 1.4201 |
| No log | 5.0 | 25 | 1.0033 |
| No log | 6.0 | 30 | 0.6681 |
| No log | 7.0 | 35 | 0.4507 |
| No log | 8.0 | 40 | 0.2975 |
| No log | 9.0 | 45 | 0.1944 |
| No log | 10.0 | 50 | 0.1268 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1