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BookingCare/gte-multilingual-classifier
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metadata
library_name: transformers
license: apache-2.0
base_model: Alibaba-NLP/gte-multilingual-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: result
    results: []

result

This model is a fine-tuned version of Alibaba-NLP/gte-multilingual-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8700
  • Accuracy: 0.7591

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: Use OptimizerNames.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: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.2705 1.0 500 0.9258 0.7501
0.8582 2.0 1000 0.8700 0.7591

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0