original_model_fast_3 – AI Model by LeonardoFettucciari | AlphaNeural AI

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LeonardoFettucciari/
original_model_fast_3

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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original_model_fast_3

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: 1.3365
Accuracy: 0.4955
F1: 0.4921
Precision: 0.5342
Recall: 0.4943

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: 32
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
0.9771	0.3131	500	1.0857	0.4725	0.3578	0.4359	0.4452
0.5937	0.6262	1000	0.8409	0.6324	0.5352	0.6620	0.6069
0.5097	0.9393	1500	0.7965	0.6709	0.6323	0.6645	0.6529
0.4682	1.2523	2000	0.8232	0.6849	0.6580	0.6843	0.6694
0.4603	1.5654	2500	0.8043	0.6941	0.6706	0.6907	0.6797
0.4529	1.8785	3000	0.8085	0.6962	0.6731	0.6950	0.6819

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1