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distilbert-base-uncased-finetuned-clinc__newtest – AI Model by Christine567 | AlphaNeural AI
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Christine567
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distilbert-base-uncased-finetuned-clinc__newtest
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pytorch
distilbert
generated_from_trainer
clinc_oos
apache-2.0
model-index
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distilbert-base-uncased-finetuned-clinc__newtest
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: 0.1464
Accuracy: 0.9494
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: 0.00028166874241704185
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: 6
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6277
1.0
318
0.2331
0.9158
0.1584
2.0
636
0.1820
0.9352
0.1088
3.0
954
0.1582
0.9445
0.0884
4.0
1272
0.1504
0.9477
0.0805
5.0
1590
0.1496
0.9468
0.0769
6.0
1908
0.1464
0.9494
Framework versions
Transformers 4.16.2
Pytorch 2.5.0+cu124
Datasets 2.0.0
Tokenizers 0.19.1
