metadata

library_name: transformers
tags:
  - generated_from_trainer
datasets:
  - gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100
metrics:
  - accuracy
model-index:
  - name: distilbert_lda_100_v1
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100
          type: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.572017856133808

distilbert_lda_100_v1

This model is a fine-tuned version of on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100 dataset. It achieves the following results on the evaluation set:

Loss: 5.9919
Accuracy: 0.5720

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: 0.0001
train_batch_size: 96
eval_batch_size: 96
seed: 10
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
10.6393	4.1982	10000	10.5707	0.1522
7.6607	8.3963	20000	7.4539	0.3924
6.5199	12.5945	30000	6.4104	0.5232
6.2188	16.7926	40000	6.1147	0.5560
6.0786	20.9908	50000	6.0022	0.5686

Framework versions

Transformers 4.46.1
Pytorch 2.2.0+cu121
Datasets 3.1.0
Tokenizers 0.20.1