my_awesome_model

keefezowie/my_awesome_model

my_awesome_model is a text classification model from keefezowie. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: mobilebert
Access: Public
Created: Dec 2, 2023
Updated: Dec 2, 2023
SHA: 2ea6ee89

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Datasets

emotion

Model card

From the Hugging Face model README

my_awesome_model

This model is a fine-tuned version of keefezowie/my_awesome_model on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.7587
Accuracy: 0.8295

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: 5e-05
train_batch_size: 16
eval_batch_size: 32
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3711	1.0	1000	1.1335	0.5795
0.7516	2.0	2000	0.6239	0.8065
0.5061	3.0	3000	0.5523	0.823
0.4381	4.0	4000	0.5857	0.8245
0.3637	5.0	5000	0.5661	0.839
0.3287	6.0	6000	0.5662	0.839
0.296	7.0	7000	0.6437	0.835
0.26	8.0	8000	0.6875	0.831
0.2344	9.0	9000	0.7239	0.8255
0.1989	10.0	10000	0.7587	0.8295

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: mobilebert
Created: Dec 2, 2023
Updated: Dec 2, 2023