fine-tuning-vit5-mlgsum-relu – AI Model by baovox | AlphaNeural AI

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baovox/
fine-tuning-vit5-mlgsum-relu

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text2text-generation

generated_from_trainer

VietAI/vit5-base

text-generation-inference

endpoints_compatible

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fine-tuning-vit5-mlgsum-relu

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1553
Rouge1: 50.2842
Rouge2: 21.0293
Rougel: 33.3278
Rougelsum: 33.59
Gen Len: 22.7732

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: 1e-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
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2569	1.0	5972	2.1921	50.1697	20.3516	33.0218	33.2741	22.798
2.1195	2.0	11944	2.1568	49.9364	20.7226	33.2213	33.4414	22.7167
1.9927	3.0	17916	2.1553	50.2842	21.0293	33.3278	33.59	22.7732

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1