pretrain_Law_model_vit5_version1 – AI Model by KingLTD | AlphaNeural AI

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KingLTD/
pretrain_Law_model_vit5_version1

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text2text-generation

generated_from_trainer

VietAI/vit5-base

text-generation-inference

endpoints_compatible

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pretrain_Law_model_vit5_version1

This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2779
Rouge1: 0.4859
Rouge2: 0.3617
Rougel: 0.4218
Rougelsum: 0.4417

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: 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	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	245	0.3566	0.4739	0.3369	0.4053	0.4273
No log	2.0	490	0.3240	0.4752	0.3453	0.4095	0.4300
0.7518	3.0	735	0.3059	0.4760	0.3510	0.4112	0.4311
0.7518	4.0	980	0.2951	0.4838	0.3584	0.4164	0.4387
0.2808	5.0	1225	0.2858	0.4799	0.3582	0.4166	0.4368
0.2808	6.0	1470	0.2831	0.4839	0.3611	0.4194	0.4403
0.2351	7.0	1715	0.2814	0.4858	0.3644	0.4218	0.4423
0.2351	8.0	1960	0.2779	0.4850	0.3612	0.4206	0.4416
0.2074	9.0	2205	0.2775	0.4836	0.3590	0.4199	0.4398
0.2074	10.0	2450	0.2779	0.4859	0.3617	0.4218	0.4417

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3