metadata

license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
datasets:
  - wikitext
metrics:
  - accuracy
model-index:
  - name: mlm
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: wikitext wikitext-2-raw-v1
          type: wikitext
          config: wikitext-2-raw-v1
          split: validation
          args: wikitext-2-raw-v1
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7302927161334241

mlm

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: 1.2468
Accuracy: 0.7303

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3758	1.0	150	1.2826	0.7277
1.3763	2.0	300	1.2747	0.7272
1.3558	3.0	450	1.2607	0.7278

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3