Multi-Domain-Expert-Learning/all_layers_all_domains
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alllayersall_domains
This model is a fine-tuned version of EleutherAI/pythia-1b-deduped on an unknown 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
- trainbatchsize: 32
- evalbatchsize: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- totaltrainbatch_size: 256
- totalevalbatch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- num_epochs: 1
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3