bbdeci7b-sft-lora

This model is a fine-tuned version of Deci/DeciLM-7B on HuggingFaceH4/ultrachat_200k It achieves the following results on the evaluation set:

• Loss: 1.0110

Model description

more information to come soon

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 128
• total_train_batch_size: 1024
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.0062	1.00	136	1.0110

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1