output

Vedmani/output

output is a machine learning model from Vedmani. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

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Updated Aug 17, 2023

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Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: Aug 17, 2023
Updated: Aug 17, 2023
SHA: 5046f0b0

Base models

Model card

From the Hugging Face model README

output

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2749
Accuracy: 0.9364

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: 0.0005
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: cosine
lr_scheduler_warmup_ratio: 0.3
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2399	1.0	2500	0.2539	0.9037
0.2454	2.0	5000	0.2753	0.9064
0.2251	3.0	7500	0.2436	0.9167
0.1996	4.0	10000	0.2271	0.9246
0.1845	5.0	12500	0.2116	0.9269
0.205	6.0	15000	0.1946	0.9312
0.1352	7.0	17500	0.2233	0.9328
0.1306	8.0	20000	0.2257	0.936
0.0849	9.0	22500	0.2582	0.9372
0.0609	10.0	25000	0.2749	0.9364

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

License: apache-2.0
Created: Aug 17, 2023
Updated: Aug 17, 2023