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vi-t5-reward-model – AI Model by thangvip | AlphaNeural AI
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thangvip
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vi-t5-reward-model
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transformers
tensorboard
safetensors
t5
text-classification
generated_from_trainer
thangvip/vi-t5-base-finetune-rewriter-5-epochs
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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vi-t5-reward-model
This model is a fine-tuned version of
thangvip/vi-t5-base-finetune-rewriter-5-epochs
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5841
Accuracy: 0.7225
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: 1.41e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
