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vit5-base_tvpl_final_15112023
vietlegalqa/vit5-base_tvpl_final_15112023
vit5-base_tvpl_final_15112023 is a machine learning model from vietlegalqa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Nov 15, 2023
- Updated
- Dec 3, 2023
- SHA
- 6163de48
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
vit5-base_tvpl_final_15112023
This model is a fine-tuned version of VietAI/vit5-base on the None dataset.
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: 10
- mixed_precision_training: Native AMP
Training results
Testing with Zalo Val test [{'rouge1': 0.7787312953094918}, {'rouge2': 0.7662668021051915}, {'rougeL': 0.7752009145737424}, {'rougeLsum': 0.775152226945001}]
f1 = 0.6852217682215199 em = 0.39805825242718446
Framework versions
- Transformers 4.35.1
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Nov 15, 2023
- Updated
- Dec 3, 2023