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Instruct-PTBR-ENUS-11M – AI Model by aberry273 | AlphaNeural AI

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aberry273/
Instruct-PTBR-ENUS-11M

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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Instruct-PTBR-ENUS-11M

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 20.5681
eval_rouge1: 2.8676
eval_rouge2: 0.8599
eval_rougeL: 2.7183
eval_rougeLsum: 2.7447
eval_runtime: 80.5817
eval_samples_per_second: 31.024
eval_steps_per_second: 3.884
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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Framework versions

Transformers 4.36.2
Pytorch 1.10.1+cu113
Datasets 2.16.1
Tokenizers 0.15.0