Shularp's picture
update model card README.md
dde8c78
metadata
tags:
  - generated_from_trainer
model-index:
  - name: Helsinki_en-mul_test_01
    results: []

Helsinki_en-mul_test_01

This model is a fine-tuned version of Shularp/Helsinki_en-mul_test on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0276

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.2373 1.0 4777 1.1392
1.1799 2.0 9554 1.0504
0.984 3.0 14331 1.0276

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3