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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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