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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased |
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tags: |
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- simplification |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: finetuned_model_sentiment_analysis_yelp |
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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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# finetuned_model_sentiment_analysis_yelp |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the [yelp_review_full](https://huggingface.co/datasets/yelp_review_full) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8933 |
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- Precision: 0.6404 |
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- Recall: 0.6409 |
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- F1: 0.6405 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:| |
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| 0.8691 | 1.0 | 3657 | 0.8801 | 0.6224 | 0.6201 | 0.6149 | |
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| 0.7506 | 2.0 | 7314 | 0.8469 | 0.6458 | 0.6421 | 0.6428 | |
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| 0.6087 | 3.0 | 10971 | 0.8933 | 0.6404 | 0.6409 | 0.6405 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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