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peft-lora-codegen-25-guanaco-v100-colab – AI Model by smangrul | AlphaNeural AI
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smangrul
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peft-lora-codegen-25-guanaco-v100-colab
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peft
tensorboard
generated_from_trainer
Salesforce/codegen25-7b-multi_P
adapter
apache-2.0
endpoints_compatible
us
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peft-lora-codgen-25-guanaco-t4-colab
This model is a fine-tuned version of
Salesforce/codegen25-7b-multi
on an unknown 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:
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: False
bnb_4bit_compute_dtype: float16
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Framework versions
PEFT 0.4.0.dev0
Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
