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distilbert-base-uncased-finetuned-clinc – AI Model by Shawn156 | AlphaNeural AI
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Shawn156
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distilbert-base-uncased-finetuned-clinc
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
clinc_oos
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-clinc
This model is a fine-tuned version of
distilbert-base-uncased
on the clinc_oos dataset. It achieves the following results on the evaluation set:
Loss: 0.7820
Accuracy: 0.9155
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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
318
3.2956
0.7229
3.791
2.0
636
1.8891
0.8287
3.791
3.0
954
1.1666
0.8910
1.6987
4.0
1272
0.8659
0.9113
0.9008
5.0
1590
0.7820
0.9155
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0
