try-out-model-amc1

Anurag0961/try-out-model-amc1

try-out-model-amc1 is a text classification model from Anurag0961. 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: Jan 25, 2023
Updated: Jan 25, 2023
SHA: a75bdffc

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Model card

From the Hugging Face model README

try-out-model-amc1

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: 0.5803
F1: 0.8627

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: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
2.8173	1.0	208	2.0505	0.5417
1.6095	2.0	416	1.2094	0.7064
0.9005	3.0	624	0.8125	0.7974
0.5221	4.0	832	0.6478	0.8311
0.3	5.0	1040	0.5762	0.8389
0.1855	6.0	1248	0.5781	0.8455
0.1157	7.0	1456	0.5737	0.8561
0.0765	8.0	1664	0.5547	0.8593
0.0512	9.0	1872	0.5582	0.8632
0.0457	10.0	2080	0.5803	0.8627

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

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