README.md

metadata

license: mit
base_model: gokulsrinivasagan/gpt_72
tags:
  - generated_from_trainer
datasets:
  - gokuls/wiki_book_corpus_complete_raw_dataset
metrics:
  - accuracy
model-index:
  - name: gpt_84
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: gokuls/wiki_book_corpus_complete_raw_dataset
          type: gokuls/wiki_book_corpus_complete_raw_dataset
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.3771482663988522

gpt_84

This model is a fine-tuned version of gokulsrinivasagan/gpt_72 on the gokuls/wiki_book_corpus_complete_raw_dataset dataset. It achieves the following results on the evaluation set:

• Loss: 3.1479
• Accuracy: 0.3771

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: 48
• eval_batch_size: 48
• 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 4.42.0.dev0
• Pytorch 2.2.2+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1