metadata
noteId: dcddc7a0091511ef947f01a7904e0672
tags:
- generated_from_trainer
license: apache-2.0
metrics:
- f1
model-index:
- name: distilbert_alcohol_classifier
results: []
distilbert_alcohol_classifier
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0028
- F1: 0.9985
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0035 | 1.0 | 760 | 0.0132 | 0.9964 |
| 0.0071 | 2.0 | 1520 | 0.0050 | 0.9985 |
| 0.0025 | 3.0 | 2280 | 0.0051 | 0.9985 |
| 0.0001 | 4.0 | 3040 | 0.0028 | 0.9985 |
| 0.0009 | 5.0 | 3800 | 0.0028 | 0.9985 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.13.1+cu116
- Datasets 2.19.0
- Tokenizers 0.13.3