distilbert-base-uncased-finetuned-clinc_newtest_v2

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distilbert-base-uncased-finetuned-clinc_newtest_v2

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: 0.0766
• Accuracy: 0.9545

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: 0.00017198452872146017
• train_batch_size: 32
• eval_batch_size: 48
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.16.2
• Pytorch 2.4.1+cu121
• Datasets 2.0.0
• Tokenizers 0.19.1