metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: sms_class_test9
results: []
sms_class_test9
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: 0.0058
- Accuracy: 0.9987
- F1: 0.9987
- Precision: 0.9988
- Recall: 0.9987
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: 32
- eval_batch_size: 32
- 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 | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 225 | 0.0227 | 0.9950 | 0.9950 | 0.9951 | 0.9950 |
| No log | 2.0 | 450 | 0.0077 | 0.9987 | 0.9987 | 0.9988 | 0.9987 |
| 0.0506 | 3.0 | 675 | 0.0047 | 0.9987 | 0.9987 | 0.9988 | 0.9987 |
| 0.0506 | 4.0 | 900 | 0.0058 | 0.9987 | 0.9987 | 0.9988 | 0.9987 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3