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--- |
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license: apache-2.0 |
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base_model: distilbert-base-multilingual-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: BERT_B09 |
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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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# BERT_B09 |
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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: 0.2572 |
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- Precision: 0.6376 |
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- Recall: 0.6753 |
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- F1: 0.6559 |
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- Accuracy: 0.9287 |
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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: 4e-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: 5 |
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- label_smoothing_factor: 0.001 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.4255 | 1.0 | 46 | 0.3653 | 0.4807 | 0.5043 | 0.4922 | 0.9019 | |
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| 0.2621 | 2.0 | 92 | 0.2719 | 0.6056 | 0.6101 | 0.6078 | 0.9227 | |
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| 0.1642 | 3.0 | 138 | 0.2659 | 0.6047 | 0.6605 | 0.6314 | 0.9246 | |
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| 0.1249 | 4.0 | 184 | 0.2580 | 0.6382 | 0.6617 | 0.6498 | 0.9299 | |
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| 0.1232 | 5.0 | 230 | 0.2572 | 0.6376 | 0.6753 | 0.6559 | 0.9287 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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