original_model_fast_1

LeonardoFettucciari/original_model_fast_1

original_model_fast_1 is a text classification model from LeonardoFettucciari. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jun 18, 2024
Updated: Jun 18, 2024
SHA: 15ffc3b6

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Base models

Model card

From the Hugging Face model README

original_model_fast_1

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: 1.4728
Accuracy: 0.5104
F1: 0.5123
Precision: 0.5439
Recall: 0.5095

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: 1e-05
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
0.3674	0.3131	500	0.7738	0.7312	0.7165	0.7316	0.7199
0.3045	0.6262	1000	0.8062	0.7260	0.7109	0.7238	0.7147
0.3196	0.9393	1500	0.7990	0.7312	0.7157	0.7318	0.7195
0.2802	1.2523	2000	0.8527	0.7316	0.7161	0.7309	0.7200

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 18, 2024
Updated: Jun 18, 2024