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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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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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- accuracy
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model-index:
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- name: token_fine_tunned_flipkart_2_gl
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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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# token_fine_tunned_flipkart_2_gl
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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: 0.0275
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- Precision: 0.9888
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- Recall: 0.9900
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- F1: 0.9894
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- Accuracy: 0.9924
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 136 | 0.1945 | 0.9023 | 0.9338 | 0.9178 | 0.9331 |
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| No log | 2.0 | 272 | 0.1232 | 0.9469 | 0.9572 | 0.9520 | 0.9658 |
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| No log | 3.0 | 408 | 0.0852 | 0.9595 | 0.9688 | 0.9641 | 0.9747 |
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| 0.2214 | 4.0 | 544 | 0.0603 | 0.9723 | 0.9760 | 0.9741 | 0.9831 |
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| 0.2214 | 5.0 | 680 | 0.0455 | 0.9770 | 0.9819 | 0.9794 | 0.9865 |
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| 0.2214 | 6.0 | 816 | 0.0357 | 0.9823 | 0.9863 | 0.9843 | 0.9887 |
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| 0.2214 | 7.0 | 952 | 0.0307 | 0.9869 | 0.9894 | 0.9882 | 0.9916 |
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| 0.0938 | 8.0 | 1088 | 0.0275 | 0.9888 | 0.9900 | 0.9894 | 0.9924 |
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### Framework versions
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- Transformers 4.19.2
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- Pytorch 1.11.0+cu102
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- Datasets 2.2.2
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- Tokenizers 0.12.1
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