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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_padding0model |
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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: 0.92484 |
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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_padding0model |
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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: 0.9248 |
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- Loss: 0.6918 |
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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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| 0.2227 | 1.0 | 1563 | 0.9217 | 0.2214 | |
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| 0.1325 | 2.0 | 3126 | 0.9312 | 0.2340 | |
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| 0.1433 | 3.0 | 4689 | 0.9273 | 0.2143 | |
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| 0.1093 | 4.0 | 6252 | 0.9267 | 0.3209 | |
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| 0.0601 | 5.0 | 7815 | 0.9276 | 0.3734 | |
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| 0.0497 | 6.0 | 9378 | 0.9174 | 0.4883 | |
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| 0.0632 | 7.0 | 10941 | 0.9169 | 0.4722 | |
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| 0.0301 | 8.0 | 12504 | 0.9048 | 0.5964 | |
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| 0.0292 | 9.0 | 14067 | 0.9261 | 0.4406 | |
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| 0.0119 | 10.0 | 15630 | 0.9264 | 0.5227 | |
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| 0.0218 | 11.0 | 17193 | 0.9294 | 0.5665 | |
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| 0.0161 | 12.0 | 18756 | 0.9276 | 0.5829 | |
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| 0.0068 | 13.0 | 20319 | 0.928 | 0.5820 | |
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| 0.0265 | 14.0 | 21882 | 0.9229 | 0.5842 | |
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| 0.0098 | 15.0 | 23445 | 0.9283 | 0.6034 | |
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| 0.0081 | 16.0 | 25008 | 0.9251 | 0.6624 | |
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| 0.0062 | 17.0 | 26571 | 0.9138 | 0.5561 | |
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| 0.0153 | 18.0 | 28134 | 0.9223 | 0.6722 | |
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| 0.0213 | 19.0 | 29697 | 0.9233 | 0.6735 | |
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| 0.0148 | 20.0 | 31260 | 0.9283 | 0.5918 | |
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| 0.0076 | 21.0 | 32823 | 0.9248 | 0.7200 | |
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| 0.0088 | 22.0 | 34386 | 0.9221 | 0.6554 | |
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| 0.0072 | 23.0 | 35949 | 0.9248 | 0.6918 | |
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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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