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text_classification_hw6 – AI Model by TobennaUdeze | AlphaNeural AI
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text_classification_hw6
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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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text_classification_hw6
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2250
Accuracy: 0.9430
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 OptimizerNames.ADAMW_TORCH 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
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.218
1.0
1563
0.1729
0.9366
0.1552
2.0
3126
0.2250
0.9430
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
