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distilbert-base-uncased-finetuned-intent – AI Model by avivnat13 | AlphaNeural AI
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avivnat13
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distilbert-base-uncased-finetuned-intent
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-intent
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: 0.0049
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.2983
1.0
178
0.0111
0.9993
0.9993
0.0085
2.0
356
0.0049
1.0
1.0
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cpu
Datasets 2.16.1
Tokenizers 0.15.0
