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---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- clinc_oos
model-index:
- name: distilbert-base-uncased-distilled-clinc
results: []
---
<!-- 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: 0.2366
## 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: 9
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 318 | 1.3258 |
| 1.6434 | 2.0 | 636 | 0.6673 |
| 1.6434 | 3.0 | 954 | 0.3963 |
| 0.6154 | 4.0 | 1272 | 0.2982 |
| 0.3057 | 5.0 | 1590 | 0.2632 |
| 0.3057 | 6.0 | 1908 | 0.2488 |
| 0.231 | 7.0 | 2226 | 0.2425 |
| 0.2073 | 8.0 | 2544 | 0.2382 |
| 0.2073 | 9.0 | 2862 | 0.2366 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.0
- Datasets 1.11.0
- Tokenizers 0.15.1
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