metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: delivery-balanced-distilbert-base-uncased-v4
results: []
delivery-balanced-distilbert-base-uncased-v4
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: 0.7812
- Accuracy: 0.7047
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: 45
- eval_batch_size: 45
- 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 | Accuracy |
|---|---|---|---|---|
| 1.0032 | 1.0 | 508 | 0.8637 | 0.6611 |
| 0.5499 | 2.0 | 1016 | 0.8312 | 0.6679 |
| 0.4515 | 3.0 | 1524 | 0.8931 | 0.6486 |
| 0.3779 | 4.0 | 2032 | 0.8600 | 0.6757 |
| 0.3332 | 5.0 | 2540 | 0.7812 | 0.7047 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1