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distilbert-base-uncased-finetuned-clinc – AI Model by laurabraad | AlphaNeural AI
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laurabraad
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distilbert-base-uncased-finetuned-clinc
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pytorch
tensorboard
distilbert
generated_from_trainer
clinc_oos
apache-2.0
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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: 0.7721
Accuracy: 0.9181
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
4.2895
1.0
318
3.2884
0.7419
2.6277
2.0
636
1.8751
0.8368
1.5479
3.0
954
1.1569
0.8961
1.0148
4.0
1272
0.8573
0.9132
0.7952
5.0
1590
0.7721
0.9181
Framework versions
Transformers 4.16.2
Pytorch 2.4.1+cu121
Datasets 1.16.1
Tokenizers 0.19.1
