intanm / baseline001-noQA-20230913

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Total runs: 6
24-hour runs: 0
7-day runs: -1
30-day runs: 1
Model's Last Updated: September 13 2023
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Introduction of baseline001-noQA-20230913

Model Details of baseline001-noQA-20230913

baseline001-noQA-20230913

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

  • Loss: 5.0346
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
No log 1.0 200 3.2409
No log 2.0 400 3.0835
3.2104 3.0 600 3.2733
3.2104 4.0 800 3.5029
1.6558 5.0 1000 3.8114
1.6558 6.0 1200 4.1583
1.6558 7.0 1400 4.5349
0.7475 8.0 1600 4.8084
0.7475 9.0 1800 4.9235
0.4025 10.0 2000 5.0346
Framework versions
  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3

Runs of intanm baseline001-noQA-20230913 on huggingface.co

6
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
1
30-day runs

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