metadata
license: mit
tags:
- generated_from_trainer
datasets:
- gnad10
metrics:
- f1
model-index:
- name: my_awesome_model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: gnad10
type: gnad10
config: default
split: test
args: default
metrics:
- name: F1
type: f1
value: 0.9001230044993416
my_awesome_model
This model is a fine-tuned version of bert-base-german-cased on the gnad10 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3414
- F1: 0.9001
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: 2
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.5884 | 1.0 | 578 | 0.3510 | 0.8940 |
0.2389 | 2.0 | 1156 | 0.3414 | 0.9001 |
Framework versions
- Transformers 4.26.0
- Pytorch 2.0.0.dev20230126+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2