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mt5-small-finetuned-amazon-en-es – AI Model by Jayicebear | AlphaNeural AI
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mt5-small-finetuned-amazon-en-es
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transformers
pytorch
mt5
text2text-generation
summarization
generated_from_trainer
apache-2.0
endpoints_compatible
us
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mt5-small-finetuned-amazon-en-es
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: 22.4140
eval_rouge1: 0.1884
eval_rouge2: 0.0
eval_rougeL: 0.1884
eval_rougeLsum: 0.1884
eval_runtime: 6.4772
eval_samples_per_second: 36.744
eval_steps_per_second: 1.235
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: 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: 8
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
