mt5-small-finetuned-amazon-en-es – AI Model by Greeshma12 | AlphaNeural AI

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Greeshma12/
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: 3.2659
Rouge1: 13.7437
Rouge2: 5.9153
Rougel: 13.4146

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
9.4301	1.0	625	3.5851	8.6109	2.4991	8.3173
4.6907	2.0	1250	3.4105	11.1544	4.3475	10.7786
4.1916	3.0	1875	3.3443	10.8192	3.848	10.44
3.971	4.0	2500	3.3001	12.7096	5.0292	12.3085
3.8402	5.0	3125	3.2788	12.1184	4.5893	11.7314
3.7106	6.0	3750	3.2795	13.748	5.907	13.5413
3.6523	7.0	4375	3.2702	13.6669	5.8956	13.3843
3.6315	8.0	5000	3.2659	13.7437	5.9153	13.4146

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3