README.md

metadata

license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
metrics:
  - bleu
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:

• Loss: 3.1833
• Bleu: 0.8678
• Gen Len: 4.7065

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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
3.8437	1.0	20322	3.1833	0.8678	4.7065

Framework versions

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