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VIT5-large-Distractors-Generation-checkpoint – AI Model by 2Phuong5Nam4 | AlphaNeural AI
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VIT5-large-Distractors-Generation-checkpoint
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
VietAI/vit5-large
finetune
mit
text-generation-inference
endpoints_compatible
us
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VIT5-large-Distractors-Generation-checkpoint
This model is a fine-tuned version of
VietAI/vit5-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7276
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 30000
Training results
Training Loss
Epoch
Step
Validation Loss
1.8811
0.4655
2500
1.7967
1.8162
0.9310
5000
1.7276
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
