kanishka/smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_10k-1e-4

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smolm-autoreg-bpe-counterfactual-babylm-pippsandkeystoitall10k-1e-4

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 3.3595
• —Accuracy: 0.4079

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: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 32000
• —num_epochs: 20.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.1.0+cu121
• —Datasets 2.12.0
• —Tokenizers 0.14.1