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mt5-small-finetuned-litero-es – AI Model by jfcruz13 | AlphaNeural AI

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jfcruz13/
mt5-small-finetuned-litero-es

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-finetuned-litero-es

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: 24.6430
eval_rouge1: 1.3112
eval_rouge2: 0.0339
eval_rougeL: 1.2102
eval_rougeLsum: 1.201
eval_runtime: 51.8577
eval_samples_per_second: 19.284
eval_steps_per_second: 2.41
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 4.37.0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0