| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: BiBert-MultiTask-1 |
| 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. --> |
|
|
| # BiBert-MultiTask-1 |
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|
| This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2281 |
| - Accuracy: 0.7247 |
|
|
| ## 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: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 345 | 1.2060 | 0.7063 | |
| | 0.7739 | 2.0 | 690 | 1.1887 | 0.7103 | |
| | 0.6183 | 3.0 | 1035 | 1.2281 | 0.7247 | |
| | 0.6183 | 4.0 | 1380 | 1.2635 | 0.7103 | |
| | 0.5103 | 5.0 | 1725 | 1.2971 | 0.7090 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.22.2 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.6.1 |
| - Tokenizers 0.12.1 |
| |
