| --- |
| license: apache-2.0 |
| base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: distilbert-p1 |
| 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. --> |
|
|
| # distilbert-p1 |
|
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| This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.9133 |
| - Accuracy: 0.6886 |
|
|
| ## 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: 0.0001 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
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|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.8541 | 1.0 | 980 | 0.8014 | 0.6427 | |
| | 0.6234 | 2.0 | 1960 | 0.7888 | 0.6733 | |
| | 0.4153 | 3.0 | 2940 | 1.0769 | 0.6799 | |
| | 0.2386 | 4.0 | 3920 | 1.6601 | 0.6861 | |
| | 0.1176 | 5.0 | 4900 | 1.9133 | 0.6886 | |
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| ### Framework versions |
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| - Transformers 4.31.0 |
| - Pytorch 2.0.1+cpu |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.0 |
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