airoboros_none_resp_gpt-4o-mini_inst_gpt-4o_resp

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/airoboros_none_resp_gpt-4o-mini_inst_gpt-4o_resp dataset. It achieves the following results on the evaluation set:

• Loss: 0.9654

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: 5e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 512
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.1
• lr_scheduler_warmup_steps: 1738
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.8889	3	1.0627
No log	1.7778	6	1.0114
No log	2.6667	9	0.9654

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.1+cu124
• Datasets 3.0.2
• Tokenizers 0.20.1