kanishka/smolm-autoreg-bpe-seed_222

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smolm-autoreg-bpe-seed_222

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.4730
• —Accuracy: 0.5002

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: 0.003
• —trainbatchsize: 16
• —evalbatchsize: 128
• —seed: 222
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 24000
• —num_epochs: 10.0

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.16.1
• —Tokenizers 0.15.1