mt5-base-coba-coba-coba – AI Model by GhifSmile | AlphaNeural AI

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mt5-base-coba-coba-coba

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text2text-generation

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mt5-base-coba-coba-coba

This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5870
Rouge1: 0.4336
Rouge2: 0.288
Rougel: 0.3746
Rougelsum: 0.4095

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-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
7.0922	1.0	7452	0.6538	0.3557	0.239	0.3216	0.3342
0.9442	2.0	14904	0.6900	0.427	0.2868	0.371	0.4028
3.0789	3.0	22356	0.6775	0.3801	0.2581	0.34	0.3564
1.0565	4.0	29808	0.5928	0.4345	0.2885	0.376	0.4102
0.7872	5.0	37260	0.5870	0.4336	0.288	0.3746	0.4095

Framework versions

Transformers 4.25.1
Pytorch 1.9.1
Datasets 2.7.1
Tokenizers 0.13.2