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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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datasets: juliensimon/amazon-shoe-reviews |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: distilbert-amazon-shoe-reviews |
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results: [] |
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--- |
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# distilbert-amazon-shoe-reviews |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a [subset](https://huggingface.co/datasets/juliensimon/amazon-shoe-reviews) of the [Amazon US reviews](https://huggingface.co/datasets/amazon_us_reviews) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9532 |
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- Accuracy: 0.5779 |
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- F1: [0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ] |
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- Precision: [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507] |
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- Recall: [0.6247495 0.46237624 0.52983172 0.53313982 0.74488753] |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------------------------------------------:|:--------------------------------------------------------:|:--------------------------------------------------------:| |
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| 0.9713 | 1.0 | 2813 | 0.9532 | 0.5779 | [0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ] | [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507] | [0.6247495 0.46237624 0.52983172 0.53313982 0.74488753] | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.0+cu102 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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