mt5-base-multi_news – AI Model by olonok | AlphaNeural AI

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olonok/
mt5-base-multi_news

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text2text-generation

generated_from_trainer

google/mt5-base

endpoints_compatible

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mt5-base-multi_news

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: 3.2565

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: 0.001
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
3.8534	1.0	5622	3.5584
3.58	2.0	11244	3.3606
3.4904	3.0	16866	3.3078
3.4461	4.0	22488	3.2863
3.408	5.0	28110	3.2724
3.3951	6.0	33732	3.2642
3.3854	7.0	39354	3.2602
3.3731	8.0	44976	3.2577
3.3803	9.0	50598	3.2563
3.3755	10.0	56220	3.2565

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2