README.md

metadata

library_name: transformers
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_camel_chemistry
    results: []

oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_camel_chemistry

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_camel_chemistry dataset. It achieves the following results on the evaluation set:

• Loss: 0.6654

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: 16
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 32
• total_train_batch_size: 512
• total_eval_batch_size: 256
• 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
0.6679	1.0	308	0.6692
0.6119	2.0	616	0.6596
0.568	3.0	924	0.6654

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0
• Datasets 3.0.2
• Tokenizers 0.19.1