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80a4498b-1abb-44ea-a4fc-8f09976806db

This model is a fine-tuned version of EleutherAI/pythia-410m-deduped on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 4.0421

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: 0.00021
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 100
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
No log 0.0001 1 4.4538
7.9624 0.0044 50 3.9527
7.851 0.0088 100 3.9804
8.8173 0.0133 150 3.8536
8.2248 0.0177 200 3.7113
8.4198 0.0221 250 4.0489
9.3377 0.0265 300 5.3510
9.037 0.0309 350 4.0421

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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