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gemma-chat_QA-ViMMRC – AI Model by Angelectronic | AlphaNeural AI
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gemma-chat_QA-ViMMRC
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transformers
safetensors
text-generation-inference
unsloth
gemma
trl
en
unsloth/gemma-1.1-7b-it-bnb-4bit
finetune
apache-2.0
endpoints_compatible
us
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Developed by:
Angelectronic
License:
apache-2.0
Finetuned from model :
unsloth/gemma-1.1-7b-it-bnb-4bit
This gemma model was trained 2x faster with
Unsloth
and Huggingface's TRL library.
Evaluation
ViMMRC test set:
0.8348 accuracy
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
eval_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 5
num_epochs: 3
Framework versions
PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1