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hotpotqa_clustered_kmeans_all-MiniLM-L6-v2_20_albert-base-v2 – AI Model by cat-claws | AlphaNeural AI
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cat-claws
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hotpotqa_clustered_kmeans_all-MiniLM-L6-v2_20_albert-base-v2
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
endpoints_compatible
us
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hotpotqa_clustered_kmeans_all-MiniLM-L6-v2_20_albert-base-v2
This model is a fine-tuned version of
albert-base-v2
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: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Framework versions
Transformers 4.55.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1
