canine-mouse-enhancers

addykan/canine-mouse-enhancers

canine-mouse-enhancers is a text classification model from addykan. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: canine
Access: Public
Created: Apr 21, 2024
Updated: Apr 21, 2024
SHA: 90203749

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Model card

From the Hugging Face model README

canine-mouse-enhancers

This model is a fine-tuned version of google/canine-c on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9641
Accuracy: 0.7727

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-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	242	0.6476	0.6281
No log	2.0	484	0.6080	0.6860
0.6372	3.0	726	0.5989	0.7231
0.6372	4.0	968	0.6285	0.6694
0.5955	5.0	1210	0.5904	0.6860
0.5955	6.0	1452	0.5782	0.7107
0.5812	7.0	1694	0.5845	0.6983
0.5812	8.0	1936	0.6186	0.6983
0.5901	9.0	2178	0.5814	0.7231
0.5901	10.0	2420	0.6152	0.7355
0.5535	11.0	2662	0.5556	0.7438
0.5535	12.0	2904	0.5476	0.7479
0.5566	13.0	3146	0.6583	0.7107
0.5566	14.0	3388	0.5571	0.7521
0.5419	15.0	3630	0.6231	0.7231
0.5419	16.0	3872	0.6068	0.7603
0.546	17.0	4114	0.6581	0.7273
0.546	18.0	4356	0.6350	0.7438
0.5359	19.0	4598	0.7081	0.7438
0.5359	20.0	4840	0.6711	0.7521
0.5262	21.0	5082	0.8095	0.7190
0.5262	22.0	5324	0.7282	0.7521
0.5666	23.0	5566	0.7604	0.7479
0.5666	24.0	5808	0.8097	0.7521
0.5456	25.0	6050	0.8513	0.7521
0.5456	26.0	6292	0.7954	0.7603
0.5612	27.0	6534	0.8435	0.7521
0.5612	28.0	6776	0.9000	0.7355
0.5358	29.0	7018	0.9241	0.7603
0.5358	30.0	7260	0.9005	0.7479
0.5434	31.0	7502	0.8875	0.7645
0.5434	32.0	7744	0.8878	0.7686
0.5434	33.0	7986	0.9162	0.7645
0.5066	34.0	8228	0.8665	0.7686
0.5066	35.0	8470	0.8756	0.7686
0.5276	36.0	8712	0.9723	0.7603
0.5276	37.0	8954	1.0044	0.7521
0.4916	38.0	9196	0.9647	0.7521
0.4916	39.0	9438	0.9819	0.7603
0.4865	40.0	9680	0.9644	0.7686
0.4865	41.0	9922	0.9084	0.7851
0.4505	42.0	10164	1.0152	0.7521
0.4505	43.0	10406	0.9332	0.7769
0.4798	44.0	10648	0.9803	0.7603
0.4798	45.0	10890	1.0211	0.7521
0.4234	46.0	11132	0.9143	0.7810
0.4234	47.0	11374	0.9969	0.7645
0.4269	48.0	11616	0.9515	0.7851
0.4269	49.0	11858	0.9998	0.7686
0.4135	50.0	12100	0.9641	0.7727

Framework versions

Transformers 4.26.1
Pytorch 2.0.0+cu117
Datasets 2.19.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: canine
License: apache-2.0
Created: Apr 21, 2024
Updated: Apr 21, 2024