README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - wmt16_en_ro_pre_processed
metrics:
  - bleu
model-index:
  - name: >-
      tiny-mbart-length-96-learning_rate-2e-05-weight_decay-0.01-finetuned-en-to-ro
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: wmt16_en_ro_pre_processed
          type: wmt16_en_ro_pre_processed
          args: enro
        metrics:
          - name: Bleu
            type: bleu
            value: 0

tiny-mbart-length-96-learning_rate-2e-05-weight_decay-0.01-finetuned-en-to-ro

This model is a fine-tuned version of sshleifer/tiny-mbart on the wmt16_en_ro_pre_processed dataset. It achieves the following results on the evaluation set:

• Loss: 8.5137
• Bleu: 0.0
• Gen Len: 20.0

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: 8
• eval_batch_size: 8
• 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
8.2817	1.0	76290	8.5137	0.0	20.0

Framework versions

• Transformers 4.12.5
• Pytorch 1.10.0+cu102
• Datasets 1.15.1
• Tokenizers 0.10.3