README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - bleu
model_index:
  - name: opus-mt-zh-en-ep1-renri-zh-to-en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        metric:
          name: Bleu
          type: bleu
          value: 18.2579

opus-mt-zh-en-ep1-renri-zh-to-en

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

• Loss: 2.2192
• Bleu: 18.2579
• Gen Len: 28.4817

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.2194	1.0	59472	2.2192	18.2579	28.4817

Framework versions

• Transformers 4.9.2
• Pytorch 1.9.0+cu102
• Datasets 1.11.0
• Tokenizers 0.10.3