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--- |
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license: mit |
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base_model: dumitrescustefan/bert-base-romanian-cased-v1 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: sentiment-analysis-model |
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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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# sentiment-analysis-model |
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This model is a fine-tuned version of [dumitrescustefan/bert-base-romanian-cased-v1](https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2433 |
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- Accuracy: 0.9151 |
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- F1: 0.9151 |
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## Intended uses & limitations |
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This model is intended to label reviews written in romanian as either **POSITIVE** or **NEGATIVE**. |
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## Training and evaluation data |
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Trained and evaluated using half of [ro_sent dataset](https://huggingface.co/datasets/ro_sent). |
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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: 32 |
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- eval_batch_size: 32 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 281 | 0.2449 | 0.9017 | 0.9020 | |
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| 0.2392 | 2.0 | 562 | 0.2433 | 0.9151 | 0.9151 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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