• Model creator: https://huggingface.co/nongfuyulang/
• Original model: https://huggingface.co/nongfuyulang/engineer-heavy-500k-barc-llama3.1-8b-ins-fft-induction_lr1e-5_epoch3-1122/

Original model description:

• alignment-handbook
• trl
• sft
• generated_from_trainer
• trl
• sft
• generated_from_trainer datasets:
• barc0/induction_heavy_100k_jsonl
• barc0/induction_heavy_suggestfunction_100k_jsonl
• barc0/induction_100k_gpt4o-mini_generated_problems_seed100.jsonl_messages_format_0.3
• barc0/induction_100k-gpt4-description-gpt4omini-code_generated_problems_messages_format_0.3 model-index:
• name: engineer-heavy-500k-barc-llama3.1-8b-ins-fft-induction_lr1e-5_epoch3-1122 results: []

engineer-heavy-500k-barc-llama3.1-8b-ins-fft-induction_lr1e-5_epoch3-1122

• Loss: 0.2710

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 128
• total_eval_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2

Training results

Framework versions

• Transformers 4.45.0.dev0
• Pytorch 2.4.0
• Datasets 3.1.0
• Tokenizers 0.19.1