README.md

metadata

library_name: transformers
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: llama2_oh_teknium_scaling_down_random_0.3
    results: []

llama2_oh_teknium_scaling_down_random_0.3

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the mlfoundations-dev/oh_teknium_scaling_down_random_0.3 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4943

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.5354	0.9959	120	0.5283
0.4901	2.0	241	0.5046
0.4618	2.9876	360	0.4943

Framework versions

• Transformers 4.46.1
• Pytorch 2.3.0
• Datasets 3.1.0
• Tokenizers 0.20.3