distilroberta-base-finetuned-wikitext2

josedanielaromi/distilroberta-base-finetuned-wikitext2

distilroberta-base-finetuned-wikitext2 is a fill-mask model from josedanielaromi. 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: roberta
Access: Public
Created: Sep 22, 2023
Updated: Sep 23, 2023
SHA: 46fa749a

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Base models

Model card

From the Hugging Face model README

distilroberta-base-finetuned-wikitext2

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

Loss: 1.9194

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	39	2.1213
No log	2.0	78	1.9117
No log	3.0	117	1.9746
No log	4.0	156	1.9057
No log	5.0	195	1.7525
No log	6.0	234	1.7729
No log	7.0	273	2.0119
No log	8.0	312	1.7356
No log	9.0	351	2.0164
No log	10.0	390	1.8370

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Fill-Mask
Library: transformers
Type: roberta
License: apache-2.0
Created: Sep 22, 2023
Updated: Sep 23, 2023