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my_awesome_model

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distilbert
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metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: API_Detector_3_Distilbert
    results: []

my_awesome_model

This model is a fine-tuned version of distilbert/distilbert-base-uncased on Custom dataset (3 classes). It achieves the following results on the evaluation set:

  • Loss: 0.6536
  • Accuracy: 0.9437

Model description

Due to lack of training data, this model is not recognizing difference between "order" and "orderline" in sentences. So classify "ORDERLINE" to "MAOORDER" when word "orderline" is in sentence. This can be solved by one more 'if' condition in further script and this is more efficient way than more training data and its train.

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • 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
No log 1.0 15 0.8108 0.8187
No log 2.0 30 0.6536 0.9437

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.1.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1