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banking77-albert-base-v2 – AI Model by henilshah | AlphaNeural AI
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henilshah
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banking77-albert-base-v2
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transformers
safetensors
albert
text-classification
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
endpoints_compatible
us
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banking77-albert-base-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: 1.3202
Accuracy: 0.8729
F1 Macro: 0.8712
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: 3e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 93
num_epochs: 3
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
2.5035
1.0
313
2.4883
0.6486
0.6193
1.4770
2.0
626
1.5055
0.8368
0.8285
1.2941
3.0
939
1.3202
0.8729
0.8712
Framework versions
Transformers 5.6.0
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
