distilbert-base-uncased-distilled-clinc

AnnekaThiesson/distilbert-base-uncased-distilled-clinc

distilbert-base-uncased-distilled-clinc is a machine learning model from AnnekaThiesson. 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: Oct 15, 2024
Updated: Oct 15, 2024
SHA: ca5581a6

Datasets

clinc_oos

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 the clinc_oos dataset. It achieves the following results on the evaluation set:

Loss: 0.0197
Accuracy: 0.9455

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: 0.00020072998303427526
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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1849	1.0	318	0.0482	0.8968
0.0441	2.0	636	0.0320	0.9352
0.03	3.0	954	0.0266	0.9377
0.0248	4.0	1272	0.0235	0.9429
0.0218	5.0	1590	0.0215	0.9432
0.0201	6.0	1908	0.0203	0.9429
0.0189	7.0	2226	0.0197	0.9455

Framework versions

Transformers 4.16.2
Pytorch 2.4.1+cu121
Datasets 1.16.1
Tokenizers 0.19.1

Type: distilbert
License: apache-2.0
Created: Oct 15, 2024
Updated: Oct 15, 2024