augmented_model_fast_3_b – AI Model by LeonardoFettucciari | AlphaNeural AI

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LeonardoFettucciari/
augmented_model_fast_3_b

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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augmented_model_fast_3_b

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: 1.3040
Accuracy: 0.5430
F1: 0.5453
Precision: 0.5588
Recall: 0.5421

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: 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
0.5287	0.1566	500	0.8012	0.7037	0.6979	0.7045	0.6981
0.5188	0.3133	1000	0.8209	0.7137	0.6965	0.7092	0.7023
0.4646	0.4699	1500	0.7991	0.7247	0.7129	0.7181	0.7153
0.423	0.6266	2000	0.8381	0.7155	0.7025	0.7075	0.7058
0.419	0.7832	2500	0.8197	0.7207	0.7094	0.7128	0.7117
0.3953	0.9398	3000	0.9336	0.7225	0.7066	0.7193	0.7109

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1