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gokulsrinivasagan / gpt_108
Model's Last Updated: July 16 2024
text-generation
Introduction of gpt_108
Model Details of gpt_108
gpt_108
This model is a fine-tuned version of gokulsrinivasagan/gpt_96 on the gokuls/wiki_book_corpus_complete_raw_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 3.1085
- Accuracy: 0.3822
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
Runs of gokulsrinivasagan gpt_108 on huggingface.co
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More Information About gpt_108 huggingface.co Model
Url of gpt_108
gpt_108 huggingface.co Url
Provider of gpt_108 huggingface.co
Other API from gokulsrinivasagan
Updated:July 03 2024
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