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mt5-small-finetuned-en-to-hi – AI Model by shubhambhawsar | AlphaNeural AI

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shubhambhawsar/
mt5-small-finetuned-en-to-hi

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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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