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distilbert-base-uncased-finetuned-clinc – AI Model by jayulll | AlphaNeural AI | AlphaNeural AI

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jayulll/
distilbert-base-uncased-finetuned-clinc

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-distilled-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:

eval_loss: 3.2455
eval_accuracy: 0.7248
eval_runtime: 0.9586
eval_samples_per_second: 3233.755
eval_steps_per_second: 67.805
epoch: 1.0
step: 318

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: 10

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3