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--- |
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license: apache-2.0 |
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base_model: distilbert/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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model-index: |
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- name: rating_prediction_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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# rating_prediction_model |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6080 |
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- Accuracy: 0.4022 |
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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: 0.0002 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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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_steps: 500 |
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- num_epochs: 5 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.2129 | 0.5 | 221 | 1.9791 | 0.3623 | |
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| 1.9749 | 1.0 | 442 | 1.9713 | 0.3681 | |
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| 1.8605 | 1.5 | 663 | 1.9283 | 0.3856 | |
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| 1.8295 | 2.0 | 884 | 1.8659 | 0.3952 | |
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| 1.5815 | 2.5 | 1105 | 2.0720 | 0.3453 | |
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| 1.5545 | 3.01 | 1326 | 2.0883 | 0.4167 | |
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| 1.3294 | 3.51 | 1547 | 2.2009 | 0.3976 | |
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| 1.2954 | 4.01 | 1768 | 2.3456 | 0.3961 | |
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| 1.0684 | 4.51 | 1989 | 2.6093 | 0.4058 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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