opusmt-finetuned-kde4-hi-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on the kde4 dataset. It achieves the following results on the evaluation set:
- Loss: 2.3583
- Model Preparation Time: 0.0203
- Bleu: 15.2637
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: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
- Downloads last month
- 112
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for Ellight/opusmt-finetuned-kde4-hi-to-en
Base model
Helsinki-NLP/opus-mt-en-hi