Cerebras-GPT-256M-finetuned-wikitext2

This model is a fine-tuned version of cerebras/Cerebras-GPT-256M on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.5926

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
3.4051	1.0	2334	3.5344
3.029	2.0	4668	3.5483
2.7614	3.0	7002	3.5926

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3