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vietnamese-pythia-3b-deduped-all-layers – AI Model by Multi-Domain-Expert-Learning | AlphaNeural AI
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Multi-Domain-Expert-Learning
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vietnamese-pythia-3b-deduped-all-layers
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transformers
pytorch
gpt_neox
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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layer_0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31
This model is a fine-tuned version of
/pfs/lustrep4/scratch/project_462000259/shared_models/pythia-2.8b-deduped-base/pythia-2.8b-deduped
on the /pfs/lustrep4/scratch/project_462000259/shared_datasets/modified_200/modified_200/ dataset. It achieves the following results on the evaluation set:
Loss: 0.9966
Accuracy: 0.0592
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: 5e-05
train_batch_size: 1
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 16
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 14484
Training results
Framework versions
Transformers 4.28.1
Pytorch 2.0.1+rocm5.4.2
Datasets 2.11.0
Tokenizers 0.13.3
