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video_llama_finetune – AI Model by zera09 | AlphaNeural AI
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zera09
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video_llama_finetune
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peft
tensorboard
safetensors
generated_from_trainer
Qwen/Qwen2-7B-Instruct
adapter
apache-2.0
us
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video_llama_finetune
This model is a fine-tuned version of
Qwen/Qwen2-7B-Instruct
on an unknown 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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0
Training results
Framework versions
Transformers 4.40.0
Pytorch 2.2.0+cu118
Datasets 3.0.0
Tokenizers 0.19.1
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: ['mm_projector']
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
bnb_4bit_quant_storage: bfloat16
load_in_4bit: True
load_in_8bit: False
Framework versions
PEFT 0.6.0
