md_mt5_base_boun_split_first_v2 – AI Model by Buseak | AlphaNeural AI

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Buseak/
md_mt5_base_boun_split_first_v2

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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md_mt5_base_boun_split_first_v2

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

Loss: 0.4874
Bleu: 0.5931
Gen Len: 18.7836

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
14.1813	1.0	975	2.7812	1.1085	18.9862
2.9943	2.0	1950	1.4463	1.4366	18.7331
1.9645	3.0	2925	1.0962	0.5916	18.7738
1.5852	4.0	3900	0.8990	0.5837	18.6944
1.3504	5.0	4875	0.7589	0.5952	18.7164
1.1926	6.0	5850	0.6843	0.6057	18.7367
1.0963	7.0	6825	0.6291	0.5969	18.7197
1.0192	8.0	7800	0.5902	0.6007	18.7428
0.9537	9.0	8775	0.5614	0.5879	18.7492
0.9127	10.0	9750	0.5366	0.5871	18.7667
0.8705	11.0	10725	0.5166	0.5841	18.7718
0.8472	12.0	11700	0.5041	0.5869	18.7777
0.8312	13.0	12675	0.4963	0.5917	18.7821
0.8243	14.0	13650	0.4890	0.5944	18.7838
0.8099	15.0	14625	0.4874	0.5931	18.7836

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0