metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: test_model
results: []
test_model
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6399
- F1: 0.5864
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: 7.932043204149433e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.749 | 1.0 | 351 | 1.3861 | 0.5514 |
| 1.0098 | 2.0 | 702 | 1.4303 | 0.5683 |
| 0.6328 | 3.0 | 1053 | 1.5184 | 0.5846 |
| 0.3829 | 4.0 | 1404 | 1.6399 | 0.5864 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.1+cu117
- Datasets 2.6.1
- Tokenizers 0.13.3