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Librarian Bot: Add base_model information to model (#2)
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
base_model: distilbert-base-uncased
model-index:
  - name: distilbert-base-uncased-finetuned-fashion
    results: []

distilbert-base-uncased-finetuned-fashion

This model is a fine-tuned version of distilbert-base-uncased on a munally created dataset in order to detect fashion (label_0) from non-fashion (label_1) items. It achieves the following results on the evaluation set:

  • Loss: 0.0809
  • Accuracy: 0.98
  • F1: 0.9801

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.4017 1.0 47 0.1220 0.966 0.9662
0.115 2.0 94 0.0809 0.98 0.9801

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1