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BlocksmithV2.2 – AI Model by DesilDev | AlphaNeural AI | AlphaNeural AI
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DesilDev
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BlocksmithV2.2
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
DesilDev/BlocksmithV2.1
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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BlocksmithV2.2
This model is a fine-tuned version of
DesilDev/BlocksmithV2.1
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
47
2.4568
49.1553
25.8847
44.7954
45.2236
15.5532
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
