output

Vedarutvija/output

output is a text classification model from Vedarutvija. 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: gpt2
Access: Public
Created: Nov 8, 2023
Updated: Nov 8, 2023
SHA: 702ad5ad

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Base models

Datasets

wiki_qa

Model card

From the Hugging Face model README

output

This model is a fine-tuned version of gpt2 on the wiki_qa dataset. It achieves the following results on the evaluation set:

Loss: 0.8781

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.9106	0.08	200	0.7699
0.9505	0.16	400	0.6965
0.8446	0.24	600	0.7000
0.8765	0.31	800	0.6573
0.7792	0.39	1000	0.7359
0.9293	0.47	1200	0.6926
0.9715	0.55	1400	0.7032
0.8898	0.63	1600	0.7208
1.0288	0.71	1800	0.6954
0.7782	0.79	2000	0.6629
0.9419	0.86	2200	0.7061
0.7138	0.94	2400	0.7086
0.9334	1.02	2600	0.6752
0.9274	1.1	2800	0.7142
0.7217	1.18	3000	0.7227
0.74	1.26	3200	0.6896
0.9408	1.34	3400	0.7039
0.8503	1.41	3600	0.7456
0.8816	1.49	3800	0.7226
0.7751	1.57	4000	0.7182
0.8669	1.65	4200	0.6904
1.059	1.73	4400	0.7131
0.8442	1.81	4600	0.7063
0.9162	1.89	4800	0.7128
0.9022	1.96	5000	0.7249
0.9427	2.04	5200	0.7333
0.9122	2.12	5400	0.6852
0.8159	2.2	5600	0.6950
0.9489	2.28	5800	0.7137
0.9976	2.36	6000	0.7101
0.9305	2.44	6200	0.7059
0.6405	2.51	6400	0.7167
0.9515	2.59	6600	0.6875
0.7186	2.67	6800	0.7057
0.9221	2.75	7000	0.6805
0.9118	2.83	7200	0.7011
0.9784	2.91	7400	0.6936
0.7532	2.99	7600	0.7046

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: gpt2
License: mit
Created: Nov 8, 2023
Updated: Nov 8, 2023