augmented_model_fast_2b – AI Model by LeonardoFettucciari | AlphaNeural AI

You can deploy this model and start earning money today!

LeonardoFettucciari/
augmented_model_fast_2b

like

0

text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

augmented_model_fast_2b

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: 1.2651
Accuracy: 0.5223
F1: 0.5228
Precision: 0.5238
Recall: 0.5221

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-06
train_batch_size: 16
eval_batch_size: 8
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.5255	0.1566	500	0.7625	0.7273	0.7193	0.7237	0.7201
0.5105	0.3133	1000	0.7780	0.7260	0.7157	0.7196	0.7174
0.4853	0.4699	1500	0.7736	0.7268	0.7166	0.7206	0.7182
0.4667	0.6266	2000	0.7827	0.7255	0.7165	0.7194	0.7176

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1