| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - sst2 |
| metrics: |
| - accuracy |
| base_model: prajjwal1/bert-tiny |
| model-index: |
| - name: sentiment-model-saagie |
| results: |
| - task: |
| type: text-classification |
| name: Text Classification |
| dataset: |
| name: sst2 |
| type: sst2 |
| args: default |
| metrics: |
| - type: accuracy |
| value: 0.7766666666666666 |
| name: Accuracy |
| --- |
| |
| <!-- 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-model-saagie |
|
|
| This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the sst2 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5524 |
| - Accuracy: 0.7767 |
|
|
| ## 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: 5e-05 |
| - 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: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.5173 | 1.0 | 1500 | 0.4780 | 0.775 | |
| | 0.3824 | 2.0 | 3000 | 0.5339 | 0.7767 | |
| | 0.3359 | 3.0 | 4500 | 0.5524 | 0.7767 | |
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|
| ### Framework versions |
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|
| - Transformers 4.18.0 |
| - Pytorch 1.8.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.12.1 |
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|
