mt5-small-finetuned-summarization-amazon_reviews_multi – AI Model by amin-oj | AlphaNeural AI

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amin-oj/
mt5-small-finetuned-summarization-amazon_reviews_multi

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-finetuned-summarization-amazon_reviews_multi

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: 3.4018
Rouge1: 9.9985
Rouge2: 2.8179
Rougel: 9.7638
Rougelsum: 9.8649

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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	153	5.7761	3.6167	1.1182	3.4522	3.473
20.5610	2.0	306	4.0384	8.7252	2.8086	8.5396	8.6162
20.5610	3.0	459	3.5351	9.6513	2.4522	9.4417	9.5315
10.3854	4.0	612	3.4018	9.9985	2.8179	9.7638	9.8649

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2