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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: distilbert-base-multilingual-cased-distilled-jd |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# distilbert-base-multilingual-cased-distilled-jd |
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1316 |
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- Accuracy: 0.8715 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 9 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4909 | 1.0 | 464 | 0.2007 | 0.8531 | |
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| 0.1345 | 2.0 | 928 | 0.1814 | 0.8650 | |
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| 0.0888 | 3.0 | 1392 | 0.1670 | 0.8639 | |
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| 0.0757 | 4.0 | 1856 | 0.1484 | 0.8726 | |
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| 0.0637 | 5.0 | 2320 | 0.1394 | 0.8683 | |
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| 0.0577 | 6.0 | 2784 | 0.1379 | 0.8737 | |
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| 0.0513 | 7.0 | 3248 | 0.1431 | 0.8704 | |
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| 0.0464 | 8.0 | 3712 | 0.1329 | 0.8704 | |
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| 0.0449 | 9.0 | 4176 | 0.1316 | 0.8715 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.13.0 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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