metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-sql-classification-no_context
results: []
distilbert-base-uncased-finetuned-sql-classification-no_context
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: 0.4138
- Accuracy: 0.8984
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.4428 | 1.0 | 1290 | 0.3724 | 0.8360 |
| 0.3319 | 2.0 | 2580 | 0.3919 | 0.8744 |
| 0.3222 | 3.0 | 3870 | 0.3701 | 0.8911 |
| 0.2605 | 4.0 | 5160 | 0.3791 | 0.8911 |
| 0.2197 | 5.0 | 6450 | 0.4138 | 0.8984 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2