mt5-small-finetuned – AI Model by Ah7med | AlphaNeural AI

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Ah7med/
mt5-small-finetuned

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-finetuned

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

Loss: 1.7974
Rouge1: 0.4303
Rouge2: 0.2038
Rougel: 0.3736
Rougelsum: 0.3734

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
2.1585	1.0	1842	1.9205	0.4074	0.1838	0.3517	0.3518
2.1545	2.0	3684	1.8882	0.4120	0.1914	0.3592	0.3588
2.0888	3.0	5526	1.8290	0.4196	0.1939	0.3603	0.3601
2.0272	4.0	7368	1.8269	0.4215	0.1975	0.3637	0.3635
1.9871	5.0	9210	1.8224	0.4231	0.1943	0.3634	0.3633
1.9535	6.0	11052	1.8055	0.4285	0.2030	0.3715	0.3715
1.9322	7.0	12894	1.7954	0.4270	0.2018	0.3698	0.3697
1.9181	8.0	14736	1.7974	0.4303	0.2038	0.3736	0.3734

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0