LLaMA-3.1-8B-Active-RM/README.md

metadata

library_name: transformers
license: other
base_model: /bjzhyai03/workhome/luyaxi/Meta-Llama-3.1-8B-Instruct/
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: sft
    results: []

sft

This model is a fine-tuned version of /bjzhyai03/workhome/luyaxi/Meta-Llama-3.1-8B-Instruct/ on the active_rmllama dataset. It achieves the following results on the evaluation set:

• Loss: 1.4812

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.0147	8.0972	500	1.3433

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1
• Datasets 2.21.0
• Tokenizers 0.19.1