README.md

metadata

library_name: transformers
language:
  - hi
base_model: ar5entum/bart_eng_hin_mt
tags:
  - generated_from_trainer
model-index:
  - name: bart_eng_hin_mt
    results: []

bart_eng_hin_mt

This model is a fine-tuned version of ar5entum/bart_eng_hin_mt on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5147
• eval_model_preparation_time: 0.0051
• eval_bleu: 11.8141
• eval_gen_len: 122.6932
• eval_runtime: 3.6543
• eval_samples_per_second: 142.3
• eval_steps_per_second: 1.642
• step: 0

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: 8
• eval_batch_size: 22
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 32
• total_eval_batch_size: 88
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Framework versions

• Transformers 4.45.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1