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pretrain-vit5-large – AI Model by antphb | AlphaNeural AI
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antphb
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pretrain-vit5-large
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
VietAI/vit5-large
finetune
mit
text-generation-inference
endpoints_compatible
us
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pretrain-vit5-large
This model is a fine-tuned version of
VietAI/vit5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2677
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
1.4276
4.56
200
0.2848
0.4608
9.12
400
0.2677
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
