metadata
license: llama2
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf
model-index:
- name: llama2_70b_aqlm_toolcall
results: []
llama2_70b_aqlm_toolcall
This model is a fine-tuned version of BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf on the identity, the alpaca_gpt4_en and the glaive_toolcall datasets.
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.9.0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.2