mt5-base-wikinewssum-english-1000 – AI Model by airKlizz | AlphaNeural AI

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airKlizz/
mt5-base-wikinewssum-english-1000

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text2text-generation

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mt5-base-wikinewssum-english-1000

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

Loss: 2.4724
Rouge1: 7.7389
Rouge2: 3.1606
Rougel: 6.3317
Rougelsum: 7.2487

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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	125	2.6981	7.1504	2.6253	5.8261	6.7427
No log	2.0	250	2.5597	7.4666	2.9362	6.0965	6.9699
No log	3.0	375	2.5145	7.4599	2.9449	6.0941	6.9734
No log	4.0	500	2.4904	7.5063	2.975	6.137	7.0027
No log	5.0	625	2.4904	7.6027	3.0582	6.2161	7.0832
No log	6.0	750	2.4801	7.7601	3.1916	6.3689	7.2686
No log	7.0	875	2.4737	7.7162	3.1332	6.3113	7.2283
No log	8.0	1000	2.4724	7.7389	3.1606	6.3317	7.2487

Framework versions

Transformers 4.13.0
Pytorch 1.10.1
Datasets 1.16.1
Tokenizers 0.10.3