OPUS-en-zh-DE_pos_evi_6

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 3.3718
  • Validation Loss: 3.8706
  • Train Bleu: 0.6137
  • Train Gen Len: 78.6581
  • Epoch: 2

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Bleu Train Gen Len Epoch
3.6882 3.8978 0.6362 80.2991 0
3.5161 3.8842 0.5617 86.1026 1
3.3718 3.8706 0.6137 78.6581 2

Framework versions

  • Transformers 4.47.1
  • TensorFlow 2.17.1
  • Datasets 3.2.0
  • Tokenizers 0.21.0
Downloads last month
27
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for Mauren/OPUS-en-zh-DE_pos_evi_6

Finetuned
(32)
this model