metadata
library_name: transformers
license: other
base_model: >-
/data/AIR_HF_CACHE/hub/models--meta-llama--Meta-Llama-3.1-8B-Instruct/snapshots/8c22764a7e3675c50d4c7c9a4edb474456022b16
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: droidv2_data_verified_merge_no_data_aug_v2_epoch1_llama3.1-8b
results: []
droidv2_data_verified_merge_no_data_aug_v2_epoch1_llama3.1-8b
This model is a fine-tuned version of /data/AIR_HF_CACHE/hub/models--meta-llama--Meta-Llama-3.1-8B-Instruct/snapshots/8c22764a7e3675c50d4c7c9a4edb474456022b16 on the autodroid dataset.
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: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.0+cu118
- Datasets 3.0.0
- Tokenizers 0.20.3