training1 – AI Model by wesleymorris | AlphaNeural AI

You can deploy this model and start earning money today!

wesleymorris/
training1

like

0

text-classification

generated_from_trainer

microsoft/deberta-v3-large

autotrain_compatible

endpoints_compatible

Views

No views yet

training1

This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1739
Accuracy: 0.9431
F1: 0.8115
Precision: 0.8659
Recall: 0.7636

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: 9.946303722432942e-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.6954	1.0	61	0.6728	0.6127	0.1189	0.0936	0.1629
0.5462	2.0	122	0.3988	0.8683	0.4352	0.6972	0.3163
0.3711	3.0	183	0.3401	0.8765	0.4703	0.7535	0.3419
0.3269	4.0	244	0.3175	0.8883	0.4785	0.9524	0.3195
0.2899	5.0	305	0.2781	0.9042	0.5961	0.92	0.4409
0.2568	6.0	366	0.2576	0.9144	0.6745	0.865	0.5527
0.2176	7.0	427	0.2305	0.9242	0.7376	0.8287	0.6645
0.1879	8.0	488	0.2014	0.9329	0.7579	0.8991	0.6550
0.1541	9.0	549	0.2002	0.9329	0.7842	0.8095	0.7604
0.1275	10.0	610	0.1739	0.9431	0.8115	0.8659	0.7636

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1