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Q5-PHQ

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metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: Q5-PHQ
    results: []

Q5-PHQ

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3293
  • Accuracy: 0.895
  • Mcc: 0.7159

Model description

More information needed

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: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy Mcc
No log 1.0 51 0.5606 0.74 0.0
No log 2.0 102 0.4196 0.86 0.6138
No log 3.0 153 0.3350 0.88 0.6721
No log 4.0 204 0.3316 0.8875 0.6969
No log 5.0 255 0.3293 0.895 0.7159

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1