update model card README.md

README.md

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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