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vit5-large-legal-lora – AI Model by hduc-le | AlphaNeural AI | AlphaNeural AI
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vit5-large-legal-lora
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
mit
text-generation-inference
endpoints_compatible
us
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vit5-large-legal-lora
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: 1.4278
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: 5e-05
train_batch_size: 3
eval_batch_size: 6
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 6
total_eval_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.6407
1.0
11183
1.4850
1.5931
2.0
22366
1.4408
1.5619
3.0
33549
1.4278
Framework versions
Transformers 4.29.2
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3
