metadata

library_name: transformers
license: apache-2.0
base_model: Ellight/opus-mt-hi-en-finetuned-hi-to-en
tags:
  - generated_from_trainer
model-index:
  - name: opus-mt-hi-en-finetuned-hi-to-en-finetuned-hi-to-en-idioms
    results: []

opus-mt-hi-en-finetuned-hi-to-en-finetuned-hi-to-en-idioms

This model is a fine-tuned version of Ellight/opus-mt-hi-en-finetuned-hi-to-en on an unknown dataset.

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: 64
eval_batch_size: 8
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: 5
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