my_awesome_model_concatenate_event_name_event_description

ysouidi/my_awesome_model_concatenate_event_name_event_description

my_awesome_model_concatenate_event_name_event_description is a text classification model from ysouidi. 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. --

Downloads · 30 days

8% of all-time downloads

All-time downloads

Public

Repo size

804 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin268 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Dec 25, 2023
Updated: Dec 25, 2023
SHA: 7b2ebfea

Try a prompt

Base models

Model card

From the Hugging Face model README

my_awesome_model_concatenate_event_name_event_description

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: 0.7611
Accuracy: 0.8431

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	13	0.9922	0.5490
No log	2.0	26	0.8272	0.7843
No log	3.0	39	0.7611	0.8431

Framework versions

Transformers 4.32.1
Pytorch 2.1.0+cpu
Datasets 2.16.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Dec 25, 2023
Updated: Dec 25, 2023