mt5-small-wikinewssum-test – AI Model by airKlizz | AlphaNeural AI

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mt5-small-wikinewssum-test

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mt5-small-wikinewssum-test

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: 2.9354
Rouge1: 6.8433
Rouge2: 2.5498
Rougel: 5.6114
Rougelsum: 6.353

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: 12
eval_batch_size: 12
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
No log	1.0	661	3.2810	6.4161	2.403	5.3674	6.0329
No log	2.0	1322	3.1515	6.9291	2.6826	5.6839	6.4359
No log	3.0	1983	3.0565	6.7939	2.6113	5.6133	6.3126
No log	4.0	2644	2.9815	6.0279	2.1637	4.9892	5.5962
No log	5.0	3305	2.9645	6.3926	2.339	5.2716	5.9443
3.9937	6.0	3966	2.9476	6.4739	2.3615	5.3473	6.0089
3.9937	7.0	4627	2.9405	6.615	2.4309	5.4493	6.1445
3.9937	8.0	5288	2.9354	6.8433	2.5498	5.6114	6.353

Framework versions

Transformers 4.13.0
Pytorch 1.10.1
Datasets 1.16.1
Tokenizers 0.10.3