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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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- 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-scaled |
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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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# distilbert-amazon-shoe-reviews-scaled |
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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: 1.1836 |
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- Accuracy: 0.456 |
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- F1: [0.56281407 0.31088083 0.32608696 0.32142857 0.6640625 ] |
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- Precision: [0.5045045 0.34090909 0.37037037 0.35064935 0.59440559] |
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- Recall: [0.63636364 0.28571429 0.29126214 0.2967033 0.75221239] |
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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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- mixed_precision_training: Native AMP |
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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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| 1.3447 | 1.0 | 141 | 1.1836 | 0.456 | [0.56281407 0.31088083 0.32608696 0.32142857 0.6640625 ] | [0.5045045 0.34090909 0.37037037 0.35064935 0.59440559] | [0.63636364 0.28571429 0.29126214 0.2967033 0.75221239] | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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