metadata

license: mit
base_model: openai-community/gpt2
tags:
  - generated_from_trainer
datasets:
  - gokuls/wiki_book_corpus_raw_dataset_tiny
metrics:
  - accuracy
model-index:
  - name: gpt_train_12_384_new
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: gokuls/wiki_book_corpus_raw_dataset_tiny
          type: gokuls/wiki_book_corpus_raw_dataset_tiny
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.364555259244386

gpt_train_12_384_new

This model is a fine-tuned version of openai-community/gpt2 on the gokuls/wiki_book_corpus_raw_dataset_tiny dataset. It achieves the following results on the evaluation set:

Loss: 3.7116
Accuracy: 0.3646

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.1.0a0+32f93b1
Datasets 2.20.0
Tokenizers 0.19.1