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 distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4728
- F1: 0.5831
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 176 | 1.3057 | 0.5639 |
| 1.5017 | 2.0 | 352 | 1.3862 | 0.5755 |
| 0.9071 | 3.0 | 528 | 1.4728 | 0.5831 |
| 0.5925 | 4.0 | 704 | 1.6452 | 0.5738 |
| 0.3718 | 5.0 | 880 | 1.6950 | 0.5730 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.1+cu117
- Datasets 2.6.1
- Tokenizers 0.13.3