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