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assistant-query-classifier – AI Model by goamegah | AlphaNeural AI
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goamegah
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assistant-query-classifier
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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assistant-query-classifier
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5838
Accuracy: 1.0
F1: 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
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: 50
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
4
0.6391
1.0
1.0
No log
2.0
8
0.6330
1.0
1.0
0.6379
3.0
12
0.6219
1.0
1.0
0.6379
4.0
16
0.6058
1.0
1.0
0.6167
5.0
20
0.5838
1.0
1.0
Framework versions
Transformers 4.56.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0
