fluent-capybara-27-replication

This model is a fine-tuned version of princeton-nlp/Sheared-LLaMA-1.3B on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 2.2483

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: 2.5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 100
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 200
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.7039	1.0	750	2.6816
2.4411	2.0	1500	2.4269
2.3104	3.0	2250	2.3173
2.2149	4.0	3001	2.2593
2.0649	5.0	3750	2.2483

Framework versions

• PEFT 0.10.0
• Transformers 4.39.1
• Pytorch 2.1.2+cu118
• Datasets 2.18.0
• Tokenizers 0.15.1