pythia-31m-simplewiki-2048

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pythia-31m-simplewiki-2048

This was initialized from random weights based on the config of EleutherAI/pythia-31m and trained on pszemraj/simple_wikipedia_LM for 3 epochs.

It achieves the following results on the evaluation set:

• Loss: 3.6874
• Accuracy: 0.4105

Model description

More information needed

Intended uses & limitations

This is a baseline for comparison to other models.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0005
• train_batch_size: 1
• eval_batch_size: 1
• seed: 80085
• gradient_accumulation_steps: 64
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
• lr_scheduler_type: inverse_sqrt
• lr_scheduler_warmup_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