metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-hi
tags:
  - generated_from_keras_callback
model-index:
  - name: En-Hi_Translation_Model
    results: []
datasets:
  - kde4
language:
  - en
  - hi
metrics:
  - bleu

En-Hi_Translation_Model

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: 0.7730
Validation Loss: 0.9084
Epoch: 3
glue score = 49

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 8202, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.2979	1.0003	0
0.9319	0.9292	1
0.7730	0.9084	2

Framework versions

Transformers 4.35.2
TensorFlow 2.14.0
Datasets 2.15.0
Tokenizers 0.15.0