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mt5-small-finetuned-amazon-en-es – AI Model by yueyue1987 | AlphaNeural AI
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mt5-small-finetuned-amazon-en-es
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transformers
safetensors
mt5
text2text-generation
summarization
generated_from_trainer
google/mt5-small
finetune
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:
Loss: 3.2159
Rouge1: 6.8206
Rouge2: 2.5316
Rougel: 6.5558
Rougelsum: 6.661
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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
No log
1.0
5976
3.3260
6.72
2.4069
6.496
6.5394
8.3718
2.0
11952
3.2159
6.8206
2.5316
6.5558
6.661
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
