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grammars_13bf – AI Model by Xiangchi | AlphaNeural AI
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grammars_13bf
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peft
safetensors
trl
sft
generated_from_trainer
NousResearch/Llama-2-13b-chat-hf
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grammars_13bf
This model is a fine-tuned version of
NousResearch/Llama-2-13b-chat-hf
on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
The following
bitsandbytes
quantization config was used during training:
quant_method: bitsandbytes
_load_in_8bit: True
_load_in_4bit: False
llm_int8_threshold: 6.0
llm_int8_skip_modules: None
llm_int8_enable_fp32_cpu_offload: False
llm_int8_has_fp16_weight: False
bnb_4bit_quant_type: fp4
bnb_4bit_use_double_quant: False
bnb_4bit_compute_dtype: float32
bnb_4bit_quant_storage: uint8
load_in_4bit: False
load_in_8bit: True
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1.41e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
Training results
Framework versions
PEFT 0.5.0
Transformers 4.43.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.13.1
Tokenizers 0.19.1
