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

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shzamalam/
mt5-small-google-finetuned-amazon-en-es

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text2text-generation

generated_from_trainer

akahana/mt5-small-google

text-generation-inference

endpoints_compatible

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mt5-small-google-finetuned-amazon-en-es

This model is a fine-tuned version of akahana/mt5-small-google on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 6.3094
Model Preparation Time: 0.0043
Rouge1: 3.9907
Rouge2: 0.0
Rougel: 3.728
Rougelsum: 3.7451

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	Model Preparation Time	Rouge1	Rouge2	Rougel	Rougelsum
36.3235	1.0	1209	10.4603	0.0043	1.9526	0.0	1.9645	1.9549
10.1253	2.0	2418	7.8354	0.0043	2.7987	0.0	2.738	2.7197
8.2571	3.0	3627	7.1225	0.0043	2.7838	0.0	2.7297	2.7215
7.5278	4.0	4836	6.7621	0.0043	3.6597	0.0	3.4788	3.4724
7.1356	5.0	6045	6.5444	0.0043	3.8173	0.0	3.5713	3.5866
6.8907	6.0	7254	6.3968	0.0043	3.8173	0.0	3.5334	3.5352
6.753	7.0	8463	6.3399	0.0043	3.9907	0.0	3.728	3.7451
6.6743	8.0	9672	6.3094	0.0043	3.9907	0.0	3.728	3.7451

Framework versions

Transformers 4.54.1
Pytorch 2.5.1+cu121
Datasets 4.0.0
Tokenizers 0.21.4