en2zh_opus_100

This model is a fine-tuned version of HAJIWEE/en2zh_opus_100 on the opus100 dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0799
  • Bleu: 12.9203
  • Gen Len: 15.2965

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: 6
  • eval_batch_size: 6
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
2.6252 1.0 166667 2.1221 12.7341 15.3295
2.5579 2.0 333334 2.0799 12.9203 15.2965

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu117
  • Datasets 2.11.0
  • Tokenizers 0.13.3
Downloads last month
8
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train HAJIWEE/en2zh_opus_100

Evaluation results