metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- banking77
metrics:
- f1
base_model: bert-base-uncased
model-index:
- name: bert-base-banking77
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: banking77
type: banking77
config: default
split: test
args: default
metrics:
- type: f1
value: 0.9292916887388843
name: F1
bert-base-banking77
This model is a fine-tuned version of bert-base-uncased on the banking77 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3032
- F1: 0.9293
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 |
|---|---|---|---|---|
| 1.0309 | 1.0 | 626 | 0.7660 | 0.8508 |
| 0.3691 | 2.0 | 1252 | 0.3553 | 0.9234 |
| 0.1738 | 3.0 | 1878 | 0.3032 | 0.9293 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.0+cu117
- Datasets 2.9.0
- Tokenizers 0.13.3