Multi-Domain-Expert-Learning/vietnamese-pythia-3b-deduped-all-layers

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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/project462000259/shareddatasets/modified200/modified200/ 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
• —trainbatchsize: 1
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 16
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
• —lrschedulertype: 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