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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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datasets: |
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- imdb |
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metrics: |
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- accuracy |
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model-index: |
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- name: left_padding10model |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: imdb |
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type: imdb |
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config: plain_text |
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split: test |
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args: plain_text |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.93344 |
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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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# left_padding10model |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset. |
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It achieves the following results on the evaluation set: |
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- Accuracy: 0.9334 |
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- Loss: 0.5739 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:-----:|:--------:|:---------------:| |
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| 0.1549 | 1.0 | 1563 | 0.9198 | 0.3020 | |
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| 0.0778 | 2.0 | 3126 | 0.9316 | 0.2819 | |
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| 0.0931 | 3.0 | 4689 | 0.9255 | 0.2931 | |
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| 0.0538 | 4.0 | 6252 | 0.9307 | 0.3606 | |
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| 0.0303 | 5.0 | 7815 | 0.9314 | 0.4229 | |
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| 0.0106 | 6.0 | 9378 | 0.9304 | 0.5013 | |
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| 0.0125 | 7.0 | 10941 | 0.9316 | 0.4994 | |
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| 0.0112 | 8.0 | 12504 | 0.9329 | 0.5481 | |
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| 0.0129 | 9.0 | 14067 | 0.9327 | 0.5440 | |
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| 0.0 | 10.0 | 15630 | 0.9334 | 0.5739 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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