metadata

library_name: transformers
language:
  - en
base_model: gokulsrinivasagan/distilbert_lda_5_v1_book
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model-index:
  - name: distilbert_lda_5_v1_book_sst2
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE SST2
          type: glue
          args: sst2
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8956422018348624

distilbert_lda_5_v1_book_sst2

This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_5_v1_book on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

Loss: 0.2822
Accuracy: 0.8956

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: 5e-05
train_batch_size: 256
eval_batch_size: 256
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
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3005	1.0	264	0.2822	0.8956
0.1522	2.0	528	0.3279	0.8979
0.1013	3.0	792	0.3850	0.8853
0.0747	4.0	1056	0.3563	0.8945
0.0542	5.0	1320	0.3817	0.8865
0.045	6.0	1584	0.3982	0.8888

Framework versions

Transformers 4.46.1
Pytorch 2.2.0+cu121
Datasets 3.1.0
Tokenizers 0.20.1