README.md

metadata

license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-tr-en
tags:
  - generated_from_trainer
datasets:
  - opus_infopankki
metrics:
  - bleu
model-index:
  - name: opus-mt-tc-big-tr-en-finetuned-tr-to-en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: opus_infopankki
          type: opus_infopankki
          config: en-tr
          split: train
          args: en-tr
        metrics:
          - name: Bleu
            type: bleu
            value: 50.6479

opus-mt-tc-big-tr-en-finetuned-tr-to-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-tr-en on the opus_infopankki dataset. It achieves the following results on the evaluation set:

• Loss: 0.7193
• Bleu: 50.6479
• Gen Len: 15.1365

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: 36
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.5846	1.0	2477	0.7193	50.6479	15.1365

Framework versions

• Transformers 4.36.1
• Pytorch 2.0.1+cu117
• Datasets 2.15.0
• Tokenizers 0.15.0