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metadata
tags:
  - generated_from_trainer
model-index:
  - name: TestHelsinkimulEnJpTh02
    results: []

TestHelsinkimulEnJpTh02

This model is a fine-tuned version of Shularp/TestHelsinkimulEnJpTh02 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4271

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
0.8365 1.0 4846 0.7700
0.2067 2.0 9692 0.5800
0.2251 3.0 14538 0.4836
0.1839 4.0 19384 0.4436
0.2445 5.0 24230 0.4271

Framework versions

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