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metadata
library_name: transformers
base_model: agentlans/multilingual-e5-small-aligned
tags:
  - generated_from_trainer
model-index:
  - name: multilingual-e5-small-aligned-sentiment-20241214-new
    results: []

multilingual-e5-small-aligned-sentiment-20241214-new

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: 0.1455
  • Mse: 0.1455

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: 128
  • 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
0.1946 1.0 7813 0.1647 0.1647
0.1385 2.0 15626 0.1528 0.1528
0.1121 3.0 23439 0.1455 0.1455

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3