distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v6 – AI Model by hafidikhsan | AlphaNeural AI

You can deploy this model and start earning money today!

hafidikhsan/
distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v6

like

0

text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v6

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: 1.4919
Accuracy: 0.7204
F1: 0.7215
Precision: 0.7239
Recall: 0.7204

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: 0.0001
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.9855	1.0	937	1.0026	0.6225	0.6227	0.6604	0.6225
0.6191	2.0	1874	0.8113	0.7090	0.7056	0.7160	0.7090
0.2736	3.0	2811	0.9598	0.7084	0.7070	0.7099	0.7084
0.1399	4.0	3748	1.2784	0.7130	0.7126	0.7151	0.7130
0.0521	5.0	4685	1.5455	0.7152	0.7163	0.7182	0.7152

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3