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: 8.4792
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
