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veddm/paraphrase-multilingual-MiniLM-L12-v2-finetuned-DIT-10_epochs

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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paraphrase-multilingual-MiniLM-L12-v2-finetuned-DIT-10_epochs

This model is a fine-tuned version of sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 4.6933

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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
No log1.0919.1280
No log2.01827.7624
No log3.02736.8875
No log4.03646.2064
No log5.04555.6836
7.5846.05465.2978
7.5847.06375.0191
7.5848.07284.8337
7.5849.08194.7284
7.58410.09104.6933

Framework versions

  • —Transformers 4.17.0
  • —Pytorch 1.10.2+cpu
  • —Datasets 2.0.0
  • —Tokenizers 0.11.6