|
--- |
|
license: apache-2.0 |
|
base_model: distilbert-base-uncased-distilled-squad |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- clinc_oos |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: distilbert-base-uncased-distilled-squad-finetuned-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: 0.8722580645161291 |
|
--- |
|
|
|
<!-- 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-squad-finetuned-clinc |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased-distilled-squad](https://huggingface.co./distilbert-base-uncased-distilled-squad) on the clinc_oos dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.7920 |
|
- Accuracy: 0.8723 |
|
|
|
## 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: 384 |
|
- eval_batch_size: 384 |
|
- 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 | 3.7816 | 0.2016 | |
|
| No log | 2.0 | 80 | 3.3589 | 0.5374 | |
|
| No log | 3.0 | 120 | 2.9695 | 0.6955 | |
|
| No log | 4.0 | 160 | 2.6408 | 0.7726 | |
|
| No log | 5.0 | 200 | 2.3697 | 0.8145 | |
|
| No log | 6.0 | 240 | 2.1547 | 0.8426 | |
|
| No log | 7.0 | 280 | 1.9912 | 0.8529 | |
|
| 2.8639 | 8.0 | 320 | 1.8802 | 0.8645 | |
|
| 2.8639 | 9.0 | 360 | 1.8138 | 0.8706 | |
|
| 2.8639 | 10.0 | 400 | 1.7920 | 0.8723 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.1 |
|
- Pytorch 2.1.0 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.13.3 |
|
|
