This model is a fine-tuned version of roberta-base on the wikitext wikitext-2-raw-v1 dataset. It achieves the following results on the evaluation set:

Loss: 1.2799
Accuracy: 0.7255

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 0
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3784	1.0	150	1.2822	0.7290
1.3804	2.0	300	1.2755	0.7273
1.3586	3.0	450	1.2628	0.7288

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

JennnDexter/mlm

mlm

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

JennnDexter/
mlm