README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
  - generated_from_trainer
datasets:
  - opus_books
metrics:
  - bleu
model-index:
  - name: my_awesome_opus_books_model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: opus_books
          type: opus_books
          config: en-fr
          split: train
          args: en-fr
        metrics:
          - name: Bleu
            type: bleu
            value: 25.6283

my_awesome_opus_books_model

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

• Loss: 0.4232
• Bleu: 25.6283
• Gen Len: 33.8077

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.4627	1.0	2542	0.4327	25.2902	33.8224
0.4294	2.0	5084	0.4232	25.6283	33.8077

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3