finetuned_sentence_itr1_2e-05_webDiscourse_27_02_2022-18_54_09

ali2066/finetuned_sentence_itr1_2e-05_webDiscourse_27_02_2022-18_54_09

finetuned_sentence_itr1_2e-05_webDiscourse_27_02_2022-18_54_09 is a text classification model from ali2066. 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

9% of all-time downloads

All-time downloads

Public

Repo size

1.3 GB

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: Mar 2, 2022
Updated: Feb 27, 2022
SHA: 409170cb

Try a prompt

Model card

From the Hugging Face model README

finetuned_sentence_itr1_2e-05_webDiscourse_27_02_2022-18_54_09

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6049
Accuracy: 0.6926
F1: 0.4160

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	48	0.5835	0.71	0.0333
No log	2.0	96	0.5718	0.715	0.3871
No log	3.0	144	0.5731	0.715	0.4
No log	4.0	192	0.6009	0.705	0.3516
No log	5.0	240	0.6122	0.7	0.4000

Framework versions

Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 2, 2022
Updated: Feb 27, 2022