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ViT5-Tay – AI Model by FiveC | AlphaNeural AI
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FiveC
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ViT5-Tay
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
VietAI/vit5-base
finetune
mit
text-generation-inference
endpoints_compatible
us
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ViT5-Tay
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: 0.1385
Sacrebleu: 13.3205
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Sacrebleu
0.157
1.0
1285
0.1494
9.9221
0.1383
2.0
2570
0.1385
13.3205
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
