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BlocksmithV2 – AI Model by DesilDev | AlphaNeural AI | AlphaNeural AI
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DesilDev
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BlocksmithV2
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tensorboard
safetensors
t5
generated_from_trainer
samsum
DesilDev/Blocksmith
finetune
apache-2.0
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BlocksmithV2
This model is a fine-tuned version of
DesilDev/Blocksmith
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.8786
Rouge1: 39.0411
Rouge2: 16.2095
Rougel: 32.6745
Rougelsum: 35.9911
Gen Len: 16.28
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
2.115
1.0
921
1.8786
39.0411
16.2095
32.6745
35.9911
16.28
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
