distilled-mt5-base-pseudo-labeling
This model is a fine-tuned version of google/mt5-small on the Lvxue/wmt16 ro-en dataset. It achieves the following results on the evaluation set:
- Loss: 1.6487
- Bleu: 24.1355
- Gen Len: 44.1211
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
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Dataset used to train Lvxue/distilled-mt5-base-pseudo-labeling
Evaluation results
- Bleu on Lvxue/wmt16 ro-enself-reported24.136