pszemraj/pythia-31m-goodwiki-deduped-2048-scratch

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pythia-31m-goodwiki-deduped-2048-scratch

Train from scratch based on config of EleutherAI/pythia-31m for 3 epochs.

It achieves the following results on the evaluation set:

• —Loss: 4.5181
• —Accuracy: 0.2680

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

***** eval metrics *****                                              
  epoch                   =        3.0                   
  eval_accuracy           =     0.2694                                  eval_loss               =     4.4986                                
  eval_runtime            = 0:00:14.62                                
  eval_samples            =        500                                  eval_samples_per_second =     34.187                                  eval_steps_per_second   =     17.093                              
  perplexity              =    89.8934

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0005
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 80085
• —gradientaccumulationsteps: 64
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
• —lrschedulertype: inverse_sqrt
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.33.1
• —Pytorch 2.2.0.dev20230907+cu118
• —Datasets 2.14.5
• —Tokenizers 0.13.3

Open LLM Leaderboard Evaluation Results

Detailed results can be found here