README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - opus_books
metrics:
  - bleu
model-index:
  - name: my_awesome_opus_books_model_JRF
    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: 6.0553

my_awesome_opus_books_model_JRF

This model was trained from scratch on the opus_books dataset. It achieves the following results on the evaluation set:

• Loss: 1.5465
• Bleu: 6.0553
• Gen Len: 17.528

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: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.7679	1.0	6355	1.5601	6.0201	17.5327
1.7452	2.0	12710	1.5465	6.0553	17.528

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.1
• Datasets 2.13.1
• Tokenizers 0.13.2