gpt2-cpt-white
This model is a fine-tuned version of gpt2 on the shahadalkhalifa/Crypto_Whitepaper_Labeled dataset.
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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Base model
openai-community/gpt2