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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 |
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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 |
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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: 0.3435 |
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- Precision: 0.8797 |
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- Recall: 0.9039 |
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- F1: 0.8916 |
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- Accuracy: 0.9061 |
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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 | 109 | 0.5647 | 0.7398 | 0.8123 | 0.7744 | 0.8111 | |
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| No log | 2.0 | 218 | 0.3863 | 0.8165 | 0.8751 | 0.8448 | 0.8716 | |
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| No log | 3.0 | 327 | 0.3367 | 0.8599 | 0.8847 | 0.8721 | 0.8869 | |
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| No log | 4.0 | 436 | 0.3266 | 0.8688 | 0.8911 | 0.8798 | 0.8977 | |
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| 0.527 | 5.0 | 545 | 0.3508 | 0.8595 | 0.8898 | 0.8744 | 0.8909 | |
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| 0.527 | 6.0 | 654 | 0.3410 | 0.8748 | 0.9045 | 0.8894 | 0.9009 | |
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| 0.527 | 7.0 | 763 | 0.3431 | 0.8754 | 0.9045 | 0.8897 | 0.9049 | |
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| 0.527 | 8.0 | 872 | 0.3435 | 0.8797 | 0.9039 | 0.8916 | 0.9061 | |
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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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