| | --- |
| | license: apache-2.0 |
| | tags: |
| | - text-classification |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: insights |
| | 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. --> |
| |
|
| | # insights |
| |
|
| | This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the custom dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7686 |
| | - Accuracy: 0.8257 |
| |
|
| | ## 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: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 63 | 0.8631 | 0.7523 | |
| | | No log | 2.0 | 126 | 0.7686 | 0.8257 | |
| | | No log | 3.0 | 189 | 1.2180 | 0.7431 | |
| | | No log | 4.0 | 252 | 1.1273 | 0.7982 | |
| | | No log | 5.0 | 315 | 1.2937 | 0.7706 | |
| | | No log | 6.0 | 378 | 1.3242 | 0.7890 | |
| | | No log | 7.0 | 441 | 1.3387 | 0.7982 | |
| | | 0.0916 | 8.0 | 504 | 1.2943 | 0.7706 | |
| | | 0.0916 | 9.0 | 567 | 1.3299 | 0.7982 | |
| | | 0.0916 | 10.0 | 630 | 1.3237 | 0.7982 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.0 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.2 |
| |
|
