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chatbot_hddl_dalat – AI Model by tsang326 | AlphaNeural AI
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tsang326
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chatbot_hddl_dalat
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peft
tensorboard
safetensors
generated_from_trainer
vilm/vinallama-7b-chat
adapter
llama2
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chatbot_hddl_dalat
This model is a fine-tuned version of
vilm/vinallama-7b-chat
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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 25
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.11.1
Transformers 4.36.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.15.2