agentlans / multilingual-e5-small-aligned-sentiment

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Total runs: 2.1K
24-hour runs: 6
7-day runs: 232
30-day runs: 1.6K
Model's Last Updated: Dezember 15 2024
text-classification

Introduction of multilingual-e5-small-aligned-sentiment

Model Details of multilingual-e5-small-aligned-sentiment

multilingual-e5-small-aligned-sentiment

This model is a fine-tuned version of agentlans/multilingual-e5-small-aligned on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2188
  • Mse: 0.2188
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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3.0
Training results
Training Loss Epoch Step Validation Loss Mse
0.2635 1.0 13548 0.2526 0.2526
0.1944 2.0 27096 0.2277 0.2277
0.1489 3.0 40644 0.2188 0.2188
Framework versions
  • Transformers 4.46.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of agentlans multilingual-e5-small-aligned-sentiment on huggingface.co

2.1K
Total runs
6
24-hour runs
205
3-day runs
232
7-day runs
1.6K
30-day runs

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multilingual-e5-small-aligned-sentiment is an open source model from GitHub that offers a free installation service, and any user can find multilingual-e5-small-aligned-sentiment on GitHub to install. At the same time, huggingface.co provides the effect of multilingual-e5-small-aligned-sentiment install, users can directly use multilingual-e5-small-aligned-sentiment installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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