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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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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: SentimentT2 |
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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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# SentimentT2 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3267 |
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- Accuracy: 0.8657 |
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- F1: 0.8683 |
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- Auc Roc: 0.9348 |
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- Log Loss: 0.3267 |
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## 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: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 20 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:| |
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| 0.6996 | 1.0 | 101 | 0.6830 | 0.6692 | 0.5957 | 0.7499 | 0.6830 | |
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| 0.6199 | 2.0 | 203 | 0.4744 | 0.8122 | 0.8286 | 0.9043 | 0.4744 | |
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| 0.4139 | 3.0 | 304 | 0.3610 | 0.8495 | 0.8459 | 0.9275 | 0.3610 | |
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| 0.3337 | 3.98 | 404 | 0.3267 | 0.8657 | 0.8683 | 0.9348 | 0.3267 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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