znhoughton/opt-babylm-350m-20eps-seed964
0522
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opt-babylm-350m-20eps-prenorm-seed964
This model was trained from scratch on the znhoughton/babylm-150m-v3 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: 0.00015
- trainbatchsize: 50
- evalbatchsize: 8
- seed: 964
- distributed_type: multi-GPU
- num_devices: 4
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 400
- totalevalbatch_size: 32
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 732
- num_epochs: 20.0
Training results
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
