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Deci-Try2-17-12 – AI Model by Jaykumaran17 | AlphaNeural AI
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Deci-Try2-17-12
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peft
tensorboard
safetensors
generated_from_trainer
Deci/DeciLM-7B-instruct
adapter
apache-2.0
us
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Deci-Try2-17-12
This model is a fine-tuned version of
Deci/DeciLM-7B-instruct
on the None 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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 150
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.36.1
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0
Training procedure
The following
bitsandbytes
quantization config was used during training:
quant_method: bitsandbytes
load_in_8bit: False
load_in_4bit: True
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: nf4
bnb_4bit_use_double_quant: True
bnb_4bit_compute_dtype: bfloat16
Framework versions
PEFT 0.6.2
