distilbert-q-classifier-3

rk68/distilbert-q-classifier-3

distilbert-q-classifier-3 is a machine learning model from rk68. 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 12, 2024
Updated: Aug 12, 2024
SHA: 4a73341f

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From the Hugging Face model README

distilbert-q-classifier-3

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3192
Accuracy: 0.9238
Precision Weighted: 0.9240
Recall Weighted: 0.9238
F1 Weighted: 0.9239
Precision Macro: 0.9240
Recall Macro: 0.9241
F1 Macro: 0.9240

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: 32
eval_batch_size: 32
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	Precision Weighted	Recall Weighted	F1 Weighted	Precision Macro	Recall Macro	F1 Macro
No log	1.0	68	0.4096	0.8558	0.8587	0.8558	0.8567	0.8588	0.8561	0.8569
No log	2.0	136	0.3029	0.8963	0.8959	0.8963	0.8959	0.8965	0.8964	0.8962
No log	3.0	204	0.2803	0.8914	0.8935	0.8914	0.8898	0.8942	0.8911	0.8900
No log	4.0	272	0.2651	0.9109	0.9132	0.9109	0.9114	0.9135	0.9105	0.9113
No log	5.0	340	0.2840	0.9222	0.9247	0.9222	0.9226	0.9241	0.9231	0.9228
No log	6.0	408	0.2939	0.9254	0.9253	0.9254	0.9253	0.9252	0.9258	0.9254
No log	7.0	476	0.3011	0.9238	0.9242	0.9238	0.9239	0.9241	0.9242	0.9241
0.2181	8.0	544	0.3170	0.9190	0.9199	0.9190	0.9192	0.9201	0.9186	0.9191
0.2181	9.0	612	0.3135	0.9222	0.9224	0.9222	0.9223	0.9225	0.9220	0.9223
0.2181	10.0	680	0.3192	0.9238	0.9240	0.9238	0.9239	0.9240	0.9241	0.9240

Framework versions

Transformers 4.43.3
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1

Type: distilbert
License: apache-2.0
Created: Aug 12, 2024
Updated: Aug 12, 2024