metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nosql-identifier-distilbert
results: []
nosql-identifier-distilbert
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2224
- Accuracy: 0.925
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 40 | 0.5824 | 0.575 |
| No log | 2.0 | 80 | 0.3768 | 0.95 |
| No log | 3.0 | 120 | 0.2381 | 0.925 |
| No log | 4.0 | 160 | 0.2721 | 0.9 |
| No log | 5.0 | 200 | 0.1597 | 0.95 |
| No log | 6.0 | 240 | 0.2096 | 0.95 |
| No log | 7.0 | 280 | 0.4053 | 0.825 |
| No log | 8.0 | 320 | 0.2440 | 0.9 |
| No log | 9.0 | 360 | 0.2514 | 0.9 |
| No log | 10.0 | 400 | 0.2224 | 0.925 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.12.1+cu113
- Datasets 2.13.1
- Tokenizers 0.11.0