metadata
tags:
- generated_from_trainer
datasets:
- generator
metrics:
- accuracy
model-index:
- name: distilbert-sql-timeout-classifier-2024030111
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: generator
type: generator
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.8218561838189494
distilbert-sql-timeout-classifier-2024030111
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.7922
- Accuracy: 0.8219
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1895 | 1.0 | 2181 | 0.6169 | 0.8097 |
| 0.1498 | 2.0 | 4362 | 0.7710 | 0.8146 |
| 0.1169 | 3.0 | 6543 | 0.7922 | 0.8219 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2