mt5-small-finetuned-amazon-en-es – AI Model by hkodimuddana | AlphaNeural AI

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hkodimuddana/
mt5-small-finetuned-amazon-en-es

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-finetuned-amazon-en-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:

Loss: 3.2830
Rouge1: 15.06
Rouge2: 6.78
Rougel: 14.55
Rougelsum: 14.52

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	125	3.2940	14.93	6.52	14.68	14.68
No log	2.0	250	3.2848	14.36	6.32	13.93	13.9
No log	3.0	375	3.2891	14.01	6.4	13.68	13.61
No log	4.0	500	3.2786	14.26	6.35	13.87	13.83
No log	5.0	625	3.2825	14.55	5.54	14.17	14.14
No log	6.0	750	3.2934	14.16	6.38	13.81	13.78
No log	7.0	875	3.2830	14.83	6.67	14.43	14.39
No log	8.0	1000	3.2830	15.06	6.78	14.55	14.52

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3