metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results: []
distilbert-base-uncased-finetuned-clinc
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: nan
- Accuracy: 0.9410
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: 192
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 80 | nan | 0.4606 |
| No log | 2.0 | 160 | nan | 0.7219 |
| No log | 3.0 | 240 | nan | 0.8071 |
| No log | 4.0 | 320 | nan | 0.8626 |
| No log | 5.0 | 400 | nan | 0.8858 |
| No log | 6.0 | 480 | nan | 0.9103 |
| 0.0 | 7.0 | 560 | nan | 0.9216 |
| 0.0 | 8.0 | 640 | nan | 0.9268 |
| 0.0 | 9.0 | 720 | nan | 0.9294 |
| 0.0 | 10.0 | 800 | nan | 0.9345 |
| 0.0 | 11.0 | 880 | nan | 0.9345 |
| 0.0 | 12.0 | 960 | nan | 0.9387 |
| 0.0 | 13.0 | 1040 | nan | 0.9390 |
| 0.0 | 14.0 | 1120 | nan | 0.9403 |
| 0.0 | 15.0 | 1200 | nan | 0.9419 |
| 0.0 | 16.0 | 1280 | nan | 0.9406 |
| 0.0 | 17.0 | 1360 | nan | 0.94 |
| 0.0 | 18.0 | 1440 | nan | 0.9403 |
| 0.0 | 19.0 | 1520 | nan | 0.9413 |
| 0.0 | 20.0 | 1600 | nan | 0.9410 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2