clips / e5-base-trm-nl

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Total runs: 1.1K
24-hour runs: 0
7-day runs: 18
30-day runs: -432
Model's Last Updated: October 13 2025
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Introduction of e5-base-trm-nl

Model Details of e5-base-trm-nl

me5-base-trimmed-old-syn-filt_2ng_llr_1e5_wu_25

This model is a fine-tuned version of nicolaebanari/me5-base-trimmed-nl-test on an unknown dataset.

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: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_ratio: 0.25
  • num_epochs: 1.0
Training results
Framework versions
  • Transformers 4.56.1
  • Pytorch 2.7.1+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.0

Runs of clips e5-base-trm-nl on huggingface.co

1.1K
Total runs
0
24-hour runs
5
3-day runs
18
7-day runs
-432
30-day runs

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e5-base-trm-nl install

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