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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
base_model: microsoft/mdeberta-v3-base
model-index:
  - name: mdeberta-v3-base-finetuned-pos
    results: []

mdeberta-v3-base-finetuned-pos

This model is a fine-tuned version of microsoft/mdeberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0887
  • Acc: 0.9814
  • F1: 0.8861

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: 10

Training results

Training Loss Epoch Step Validation Loss Acc F1
No log 1.0 439 0.0965 0.9749 0.8471
0.3317 2.0 878 0.0815 0.9783 0.8702
0.0775 3.0 1317 0.0780 0.9812 0.8825
0.0568 4.0 1756 0.0769 0.9809 0.8827
0.0444 5.0 2195 0.0799 0.9811 0.8885
0.0339 6.0 2634 0.0834 0.9813 0.8821
0.0278 7.0 3073 0.0845 0.9817 0.8843
0.0222 8.0 3512 0.0866 0.9814 0.8863
0.0222 9.0 3951 0.0885 0.9814 0.8862
0.0188 10.0 4390 0.0887 0.9814 0.8861

Framework versions

  • Transformers 4.20.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1