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End of training
30e3f46
metadata
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
model-index:
  - name: mt5-small-finetuned-en-to-hi
    results: []

mt5-small-finetuned-en-to-hi

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 5.5348
  • eval_bleu: 0.0
  • eval_gen_len: 2.0828
  • eval_runtime: 96.4745
  • eval_samples_per_second: 68.091
  • eval_steps_per_second: 2.135
  • epoch: 0.05
  • step: 1000

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: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0