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---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2070
- Accuracy: 0.9439
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8268 | 1.0 | 318 | 1.2839 | 0.7277 |
| 0.9996 | 2.0 | 636 | 0.6627 | 0.8732 |
| 0.542 | 3.0 | 954 | 0.3886 | 0.9161 |
| 0.3326 | 4.0 | 1272 | 0.2794 | 0.9319 |
| 0.2432 | 5.0 | 1590 | 0.2418 | 0.9355 |
| 0.2047 | 6.0 | 1908 | 0.2240 | 0.9406 |
| 0.1857 | 7.0 | 2226 | 0.2148 | 0.9435 |
| 0.175 | 8.0 | 2544 | 0.2114 | 0.9419 |
| 0.1699 | 9.0 | 2862 | 0.2079 | 0.9439 |
| 0.1665 | 10.0 | 3180 | 0.2070 | 0.9439 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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