mt5-small-finetuned_BBC – AI Model by rhys0907 | AlphaNeural AI

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rhys0907/
mt5-small-finetuned_BBC

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-finetuned_BBC

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: 0.7853
Rouge1: 0.2188
Rouge2: 0.1377
Rougel: 0.1944
Rougelsum: 0.1972

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.8481	1.0	223	0.9611	0.1966	0.1275	0.1759	0.1776
1.4347	2.0	446	0.8815	0.2065	0.1199	0.1805	0.1837
1.2585	3.0	669	0.8541	0.2129	0.1291	0.1880	0.1911
1.192	4.0	892	0.8184	0.2149	0.1320	0.1893	0.1926
1.1084	5.0	1115	0.8102	0.2156	0.1333	0.1908	0.1938
1.0796	6.0	1338	0.7937	0.2168	0.1337	0.1913	0.1944
1.0657	7.0	1561	0.7933	0.2181	0.1370	0.1939	0.1967
1.0488	8.0	1784	0.7853	0.2188	0.1377	0.1944	0.1972

Framework versions

Transformers 4.40.2
Pytorch 2.3.0
Datasets 2.20.0
Tokenizers 0.19.1