orca-gpt4-wik-revise

This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.0547

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: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 32
• total_train_batch_size: 1024
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.4332	0.9505	12	1.2468
1.0421	1.9802	25	1.0650
0.9193	2.8515	36	1.0547

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1