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BlocksmithV2.1 – AI Model by DesilDev | AlphaNeural AI
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DesilDev
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BlocksmithV2.1
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tensorboard
safetensors
t5
generated_from_trainer
DesilDev/t5-small-summery
finetune
apache-2.0
us
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Model card
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BlocksmithV2.1
This model is a fine-tuned version of
DesilDev/t5-small-summery
on the None dataset.
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
206
1.6800
59.9436
38.5253
56.9934
57.089
14.4442
Framework versions
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
