---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-multilingual-cased-distilled-jd
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-multilingual-cased-distilled-jd

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1316
- Accuracy: 0.8715

## 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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4909        | 1.0   | 464  | 0.2007          | 0.8531   |
| 0.1345        | 2.0   | 928  | 0.1814          | 0.8650   |
| 0.0888        | 3.0   | 1392 | 0.1670          | 0.8639   |
| 0.0757        | 4.0   | 1856 | 0.1484          | 0.8726   |
| 0.0637        | 5.0   | 2320 | 0.1394          | 0.8683   |
| 0.0577        | 6.0   | 2784 | 0.1379          | 0.8737   |
| 0.0513        | 7.0   | 3248 | 0.1431          | 0.8704   |
| 0.0464        | 8.0   | 3712 | 0.1329          | 0.8704   |
| 0.0449        | 9.0   | 4176 | 0.1316          | 0.8715   |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.13.0
- Datasets 1.16.1
- Tokenizers 0.10.3