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classify-bluesky-1000-v2 – AI Model by Himanshu99001 | AlphaNeural AI
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classify-bluesky-1000-v2
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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classify-bluesky-1000-v2
This model is a fine-tuned version of
albert/albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1265
Accuracy: 1.0
F1: 1.0
Precision: 1.0
Recall: 1.0
Accuracy Label Bluesky: 1.0
Accuracy Label Specific: 1.0
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1
