distilbert-base-uncased-bert-yoga-finetuned

dsantistevan/distilbert-base-uncased-bert-yoga-finetuned

distilbert-base-uncased-bert-yoga-finetuned is a fill-mask model from dsantistevan. Use it when you need the model to fill a missing word. 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: Fill-Mask
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Aug 8, 2022
Updated: Dec 20, 2023
SHA: 3beb8ec5

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Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-bert-yoga-finetuned

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: 2.2067

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.5956	1.0	313	2.3020
2.3742	2.0	626	2.2212
2.3034	3.0	939	2.1906

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cpu
Datasets 2.4.0
Tokenizers 0.12.1

Task: Fill-Mask
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 8, 2022
Updated: Dec 20, 2023