Xensword-MT5-Base-Summarizer – AI Model by isnekki | AlphaNeural AI

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Xensword-MT5-Base-Summarizer

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text2text-generation

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Xensword-MT5-Base-Summarizer

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: nan
Rouge1: 0.0159
Rouge2: 0.0046
Rougel: 0.0149
Rougelsum: 0.015
Gen Len: 9.6688

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	314	nan	0.0159	0.0046	0.0149	0.015	9.6688
0.0	2.0	628	nan	0.0159	0.0046	0.0149	0.015	9.6688
0.0	3.0	942	nan	0.0159	0.0046	0.0149	0.015	9.6688
0.0	4.0	1256	nan	0.0159	0.0046	0.0149	0.015	9.6688

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3