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wiki_Qlora_hoa1b4_3_epoch_with_question_module_all_linear – AI Model by Luongdzung | AlphaNeural AI
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Luongdzung
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wiki_Qlora_hoa1b4_3_epoch_with_question_module_all_linear
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peft
safetensors
generated_from_trainer
vlsp-2023-vllm/hoa-1b4
adapter
bigscience-bloom-rail-1.0
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wiki_Qlora_hoa1b4_3_epoch_with_question_module_all_linear
This model is a fine-tuned version of
vlsp-2023-vllm/hoa-1b4
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.4573
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.7307
1.0
8
3.5275
3.3633
2.0
16
3.4756
3.5176
3.0
24
3.4573
Framework versions
PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
