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VIT5-large-QA-Generation-checkpoint – AI Model by 2Phuong5Nam4 | AlphaNeural AI
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VIT5-large-QA-Generation-checkpoint
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
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VIT5-large-QA-Generation-checkpoint
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5612
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
gradient_accumulation_steps: 4
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
1.7306
0.9132
5000
1.6660
1.4348
1.8265
10000
1.5763
1.2881
2.7397
15000
1.5348
1.2578
3.6530
20000
1.5401
1.1112
4.5662
25000
1.5538
1.1428
5.4795
30000
1.5612
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
