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llama-3.2-1B-personality-detection – AI Model by JerMa88 | AlphaNeural AI | AlphaNeural AI

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JerMa88/
llama-3.2-1B-personality-detection

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llama-3.2-1B-personality-detection

This model is a fine-tuned version of meta-llama/Llama-3.2-1B 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:

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: False
bnb_4bit_compute_dtype: float16
bnb_4bit_quant_storage: uint8
load_in_4bit: True
load_in_8bit: False

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.4.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 2.16.1
Tokenizers 0.19.1