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---
license: apache-2.0
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
args: plus
metrics:
- name: Accuracy
type: accuracy
value: 0.9470967741935484
---
<!-- 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: 0.2992
- Accuracy: 0.9471
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 318 | 3.0515 | 0.7435 |
| 3.5618 | 2.0 | 636 | 1.5136 | 0.86 |
| 3.5618 | 3.0 | 954 | 0.7620 | 0.9145 |
| 1.2971 | 4.0 | 1272 | 0.4722 | 0.9348 |
| 0.4453 | 5.0 | 1590 | 0.3635 | 0.9432 |
| 0.4453 | 6.0 | 1908 | 0.3219 | 0.9442 |
| 0.2135 | 7.0 | 2226 | 0.3061 | 0.9471 |
| 0.1451 | 8.0 | 2544 | 0.3009 | 0.9481 |
| 0.1451 | 9.0 | 2862 | 0.2990 | 0.9474 |
| 0.125 | 10.0 | 3180 | 0.2992 | 0.9471 |
### Framework versions
- Transformers 4.16.2
- Pytorch 2.0.1+cu118
- Datasets 1.16.1
- Tokenizers 0.14.1
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