mytt
This model is a fine-tuned version of philschmid/BERT-Banking77 on the banking77 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3773
- F1: 0.9341
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6045 | 1.0 | 626 | 0.4252 | 0.9146 |
| 0.1566 | 2.0 | 1252 | 0.3960 | 0.9289 |
| 0.0664 | 3.0 | 1878 | 0.3773 | 0.9341 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
- Downloads last month
- 0
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.