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# mytt

This model is a fine-tuned version of [philschmid/BERT-Banking77](https://huggingface.co/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

{"tags": ["generated_from_trainer"], "datasets": ["banking77"], "metrics": ["f1"], "base_model": "philschmid/BERT-Banking77", "model-index": [{"name": "mytt", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "banking77", "type": "banking77", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "f1", "value": 0.9341176169061475, "name": "F1"}]}]}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer dataset:banking77 base_model:philschmid/BERT-Banking77 model-index autotrain_compatible endpoints_compatible region:us