|
--- |
|
license: apache-2.0 |
|
base_model: distilbert-base-uncased |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- clinc_oos |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: distilbert-base-uncased-distilled-clinc |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: clinc_oos |
|
type: clinc_oos |
|
config: plus |
|
split: validation |
|
args: plus |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.9287096774193548 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# distilbert-base-uncased-distilled-clinc |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0346 |
|
- Accuracy: 0.9287 |
|
|
|
## 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: 48 |
|
- eval_batch_size: 48 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.4545 | 1.0 | 318 | 0.2392 | 0.6261 | |
|
| 0.1973 | 2.0 | 636 | 0.1144 | 0.8494 | |
|
| 0.1193 | 3.0 | 954 | 0.0748 | 0.9058 | |
|
| 0.0881 | 4.0 | 1272 | 0.0565 | 0.9129 | |
|
| 0.0721 | 5.0 | 1590 | 0.0467 | 0.9187 | |
|
| 0.0628 | 6.0 | 1908 | 0.0420 | 0.9232 | |
|
| 0.057 | 7.0 | 2226 | 0.0381 | 0.9268 | |
|
| 0.0534 | 8.0 | 2544 | 0.0362 | 0.9290 | |
|
| 0.051 | 9.0 | 2862 | 0.0349 | 0.9287 | |
|
| 0.0499 | 10.0 | 3180 | 0.0346 | 0.9287 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
