gpt_96
This model is a fine-tuned version of gokulsrinivasagan/gpt_84 on the gokuls/wiki_book_corpus_complete_raw_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 3.1287
- Accuracy: 0.3797
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
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Finetuned from
Dataset used to train gokulsrinivasagan/gpt_96
Evaluation results
- Accuracy on gokuls/wiki_book_corpus_complete_raw_datasetself-reported0.380