Edit model card

damerajee/hindi-english

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.4458
  • Validation Loss: 0.2275
  • Epoch: 0

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
0.4458 0.2275 0

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.14.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0
Downloads last month
7
Inference Examples
Inference API (serverless) is not available, repository is disabled.

Model tree for damerajee/hindi-english

Finetuned
this model

Dataset used to train damerajee/hindi-english