LKD_Experience_CV4 – AI Model by joshnielsen876 | AlphaNeural AI

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joshnielsen876/
LKD_Experience_CV4

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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LKD_Experience_CV4

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: 0.2443
Accuracy: 0.9244
F1: 0.9158
Precision: 0.9240
Recall: 0.9091

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: 1e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	48	0.4809	0.7311	0.6063	0.8532	0.6190
No log	2.0	96	0.3551	0.8908	0.8716	0.9157	0.8506
No log	3.0	144	0.2712	0.9244	0.9158	0.9240	0.9091
No log	4.0	192	0.2508	0.9244	0.9158	0.9240	0.9091
No log	5.0	240	0.2443	0.9244	0.9158	0.9240	0.9091

Framework versions

Transformers 4.26.1
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2