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metadata
base_model: MikeGreen2710/mlm_listing_1.79
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: training_with_callbacks
    results: []

Visualize in Weights & Biases

training_with_callbacks

This model is a fine-tuned version of MikeGreen2710/mlm_listing_1.79 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7291
  • F1: 0.9208

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: 24
  • eval_batch_size: 12
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss F1
0.3171 1.0 450 0.2395 0.9020
0.1889 2.0 900 0.2344 0.9135
0.1356 3.0 1350 0.3104 0.8986
0.0919 4.0 1800 0.3622 0.9101
0.0553 5.0 2250 0.4539 0.9085
0.0347 6.0 2700 0.4787 0.9132
0.0221 7.0 3150 0.5269 0.9084
0.0113 8.0 3600 0.5861 0.9150
0.016 9.0 4050 0.6784 0.9098
0.0079 10.0 4500 0.6497 0.9200
0.005 11.0 4950 0.7084 0.9140
0.0074 12.0 5400 0.7291 0.9208
0.0061 13.0 5850 0.7240 0.9174
0.0053 14.0 6300 0.7493 0.9149
0.004 15.0 6750 0.8256 0.9106
0.0035 16.0 7200 0.7821 0.9158
0.0054 17.0 7650 0.8016 0.9148
0.0005 18.0 8100 0.8021 0.9166
0.0012 19.0 8550 0.8046 0.9182
0.002 20.0 9000 0.8045 0.9191

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1