distilbert-base-uncased-distilled-clinc

ConnorScott/distilbert-base-uncased-distilled-clinc

distilbert-base-uncased-distilled-clinc is a machine learning model from ConnorScott. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: apache-2.0
Model type: distilbert
Access: Public
Created: Aug 13, 2024
Updated: Aug 13, 2024
SHA: 359b068e

Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-distilled-clinc

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0365
Accuracy: 0.9352

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8234	1.0	318	0.4209	0.6758
0.3141	2.0	636	0.1440	0.8481
0.1458	3.0	954	0.0764	0.9065
0.0938	4.0	1272	0.0551	0.9190
0.0737	5.0	1590	0.0470	0.9277
0.0639	6.0	1908	0.0423	0.9303
0.0581	7.0	2226	0.0400	0.9352
0.0548	8.0	2544	0.0379	0.9358
0.0521	9.0	2862	0.0367	0.9358
0.0509	10.0	3180	0.0365	0.9352

Framework versions

Transformers 4.40.2
Pytorch 2.3.1+cpu
Datasets 2.19.1
Tokenizers 0.19.1

Type: distilbert
License: apache-2.0
Created: Aug 13, 2024
Updated: Aug 13, 2024