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ltg_nort5-small – AI Model by Veggissss | AlphaNeural AI
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ltg_nort5-small
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transformers
safetensors
feature-extraction
generated_from_trainer
custom_code
ltg/nort5-small
finetune
apache-2.0
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ltg_nort5-small
This model is a fine-tuned version of
ltg/nort5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1547
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: 0.0005
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2369
0.1953
100
1.2205
0.2076
0.3906
200
0.2093
0.1799
0.5859
300
0.1618
0.1533
0.7812
400
0.1547
0.1322
0.9766
500
0.1686
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu118
Datasets 3.5.1
Tokenizers 0.21.1
