outputs

ankitkupadhyay/outputs

outputs is a text classification model from ankitkupadhyay. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: May 19, 2022
Updated: May 19, 2022
SHA: 90cfb3b8

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Model card

From the Hugging Face model README

outputs

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0224
Pearson: 0.8314

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: 8e-05
train_batch_size: 128
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson
No log	1.0	214	0.0256	0.7816
No log	2.0	428	0.0251	0.8115
0.0355	3.0	642	0.0257	0.8186
0.0355	4.0	856	0.0220	0.8255
0.0133	5.0	1070	0.0226	0.8287
0.0133	6.0	1284	0.0220	0.8321
0.0133	7.0	1498	0.0224	0.8314

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: deberta-v2
License: mit
Created: May 19, 2022
Updated: May 19, 2022