license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- clinc_oos | |
metrics: | |
- accuracy | |
base_model: distilbert-base-uncased | |
model-index: | |
- name: distilbert-base-uncased-finetuned-clinc | |
results: | |
- task: | |
type: text-classification | |
name: Text Classification | |
dataset: | |
name: clinc_oos | |
type: clinc_oos | |
args: plus | |
metrics: | |
- type: accuracy | |
value: 0.9183870967741935 | |
name: Accuracy | |
<!-- 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-finetuned-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: 0.7721 | |
- Accuracy: 0.9184 | |
## 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: 5 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| 4.2896 | 1.0 | 318 | 3.2890 | 0.7432 | | |
| 2.6284 | 2.0 | 636 | 1.8756 | 0.8377 | | |
| 1.5483 | 3.0 | 954 | 1.1572 | 0.8961 | | |
| 1.015 | 4.0 | 1272 | 0.8573 | 0.9132 | | |
| 0.7953 | 5.0 | 1590 | 0.7721 | 0.9184 | | |
### Framework versions | |
- Transformers 4.11.3 | |
- Pytorch 1.13.1+cu116 | |
- Datasets 1.16.1 | |
- Tokenizers 0.10.3 | |