my_awesome_model

mholtom/my_awesome_model

my_awesome_model is a text classification model from mholtom. 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: Aug 31, 2023
Updated: Aug 31, 2023
SHA: 3979a757

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Base models

Model card

From the Hugging Face model README

my_awesome_model

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: 0.3807
Accuracy: 0.9048

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	11	1.0310	0.8333
No log	2.0	22	0.7747	0.8571
No log	3.0	33	0.6065	0.8333
No log	4.0	44	0.4970	0.8571
No log	5.0	55	0.4455	0.8810
No log	6.0	66	0.4230	0.9048
No log	7.0	77	0.4064	0.9048
No log	8.0	88	0.3917	0.9048
No log	9.0	99	0.3832	0.9048
No log	10.0	110	0.3807	0.9048

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 31, 2023
Updated: Aug 31, 2023