distilbert-base-uncased-DIALOCONAN-WIKI-CLS – AI Model by xoyeop | AlphaNeural AI

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distilbert-base-uncased-DIALOCONAN-WIKI-CLS

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distilbert-base-uncased-DIALOCONAN-WIKI-CLS

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: 0.4006
Precision: 0.6306
Recall: 0.6327
F1: 0.6316
Accuracy: 0.9460

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: 3e-05
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3444	1.0	2500	0.3613	0.6877	0.6910	0.6884	0.9171
0.2104	2.0	5000	0.3773	0.7006	0.7035	0.7017	0.9344
0.1061	3.0	7500	0.3585	0.7054	0.7074	0.7063	0.9404
0.0669	4.0	10000	0.4002	0.6291	0.6309	0.6299	0.9434
0.0327	5.0	12500	0.4006	0.6306	0.6327	0.6316	0.9460

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1