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finetuned-news_summarization_vi – AI Model by minhquy1624 | AlphaNeural AI
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finetuned-news_summarization_vi
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t5
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VietAI/vit5-large-vietnews-summarization
finetune
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finetuned-news_summarization_vi
This model is a fine-tuned version of
VietAI/vit5-large-vietnews-summarization
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2271
Rouge1: 0.253
Rouge2: 0.1919
Rougel: 0.2233
Rougelsum: 0.2233
Gen Len: 18.496
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: 1
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.2561
1.0
65361
0.2342
0.248
0.1883
0.2192
0.2192
18.274
0.1831
2.0
130722
0.2271
0.253
0.1919
0.2233
0.2233
18.496
Framework versions
Transformers 4.43.1
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
