pythia410m sft tldr This model is a fine tuned version of EleutherAI/pythia 410m deduped on an unknown dataset. It achieves the following results on the evaluation set: Loss: 2.5290 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: 1e 05 train batch size: 32 eval batch size: 8 seed: 42 distributed type: multi GPU gradient accumulation steps: 4 total train batch size: 128 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: cosine num epochs: 1.0 Training results Training Loss Epoch Step Validation Loss : : : : : : : : 2.6789 0.2007 183 2.5844 2.5737 0.4013 366 2.5528 2.5499 0.6020 549 2.5367 2.5298 0.8026 732 2.5290 Framework versions Transformers 4.40.2 Pytorch 2.2.1+cu121 Datasets 2.19.1 Tokenizers 0.19.1
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