distilbert-base-uncased-finetuned-provenances

RiccardoGvn/distilbert-base-uncased-finetuned-provenances

distilbert-base-uncased-finetuned-provenances is a fill-mask model from RiccardoGvn. 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. --

Downloads · 30 days

10% of all-time downloads

All-time downloads

Public

Repo size

536 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin268 MB · 100%

At a glance

Task: Fill-Mask
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: May 4, 2023
Updated: May 4, 2023
SHA: b4a3885c

Try a prompt

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-provenances

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: 2.5430

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	47	2.5506
2.7876	2.0	94	2.5225
2.7876	3.0	141	2.3152

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Tokenizers 0.13.3

Task: Fill-Mask
Library: transformers
Type: distilbert
License: apache-2.0
Created: May 4, 2023
Updated: May 4, 2023