llama2_13b_peft/tracking_shuffled_objects/README.md

metadata

license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: /data1/model/llama2/meta-llama/Llama2-13b
model-index:
  - name: tracking_shuffled_objects_no_sys
    results: []

tracking_shuffled_objects_no_sys

This model is a fine-tuned version of /data1/model/llama2/meta-llama/Llama2-13b on the tracking_shuffled_objects_no_sys dataset. It achieves the following results on the evaluation set:

• Loss: 0.3650

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: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 32
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 20
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.3492	2.5	200	0.3666
0.3626	5.0	400	0.3644
0.3471	7.5	600	0.3638
0.3618	10.0	800	0.3650

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.2.1
• Datasets 2.18.0
• Tokenizers 0.15.2