uk-mt5-base-xlsum-v2 – AI Model by lljllll2219 | AlphaNeural AI

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lljllll2219/
uk-mt5-base-xlsum-v2

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text2text-generation

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kravchenko/uk-mt5-base

endpoints_compatible

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uk-mt5-base-xlsum-v2

This model is a fine-tuned version of kravchenko/uk-mt5-base on the xlsum dataset. It achieves the following results on the evaluation set:

Loss: 2.0401
Rouge1: 4.4311
Rouge2: 0.8944
Rougel: 4.4294
Rougelsum: 4.4527

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
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	Rouge1	Rouge2	Rougel	Rougelsum
3.2519	1.0	2000	2.0993	4.1141	0.5944	4.1014	4.11
2.5587	2.0	4000	2.0428	4.5015	0.6167	4.4863	4.518
2.3299	3.0	6000	2.0175	4.4642	1.0833	4.4528	4.5167
2.1543	4.0	8000	2.0183	4.3294	0.9444	4.3408	4.3611
2.0276	5.0	10000	2.0039	4.6694	0.9444	4.6264	4.6527
1.9119	6.0	12000	2.0139	4.9447	1.0675	4.8908	4.9633
1.8305	7.0	14000	2.0134	4.9385	1.1595	4.8774	4.9294
1.7669	8.0	16000	2.0253	4.2697	0.9667	4.2524	4.3167
1.7141	9.0	18000	2.0354	4.4527	0.9	4.448	4.4941
1.681	10.0	20000	2.0401	4.4311	0.8944	4.4294	4.4527

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1