| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: sentiment_analysis_model |
| 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. --> |
|
|
| # sentiment_analysis_model |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7543 |
| - Accuracy: 0.8483 |
|
|
| ## 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: 32 |
| - eval_batch_size: 32 |
| - 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 | 150 | 0.4045 | 0.8317 | |
| | No log | 2.0 | 300 | 0.4403 | 0.83 | |
| | No log | 3.0 | 450 | 0.5234 | 0.8325 | |
| | 0.3116 | 4.0 | 600 | 0.5604 | 0.8367 | |
| | 0.3116 | 5.0 | 750 | 0.6089 | 0.8425 | |
| | 0.3116 | 6.0 | 900 | 0.6792 | 0.85 | |
| | 0.0814 | 7.0 | 1050 | 0.7147 | 0.8508 | |
| | 0.0814 | 8.0 | 1200 | 0.7421 | 0.8517 | |
| | 0.0814 | 9.0 | 1350 | 0.7794 | 0.845 | |
| | 0.0302 | 10.0 | 1500 | 0.7543 | 0.8483 | |
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| ### Framework versions |
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|
| - Transformers 4.28.0 |
| - Pytorch 2.1.2 |
| - Datasets 2.18.0 |
| - Tokenizers 0.13.3 |
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|
