pythia-70m-deduped-databricks-dolly-15k-v1

This model is a fine-tuned version of EleutherAI/pythia-70m-deduped on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 5.3362

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: 0.01
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
22.5289 1.0 1501 10.2721
8.5659 2.0 3002 6.0637
6.1434 3.0 4503 5.6654
5.735 4.0 6004 5.5859
5.5524 5.0 7505 5.5399
5.4368 6.0 9006 5.5221
5.3728 7.0 10507 5.5221
5.2796 8.0 12008 5.5022
5.1963 9.0 13509 5.4812
5.1361 10.0 15010 5.4652
5.0767 11.0 16511 5.4530
5.014 12.0 18012 5.4161
4.9554 13.0 19513 5.3732
4.9044 14.0 21014 5.3763
4.8483 15.0 22515 5.3694
4.7916 16.0 24016 5.3432
4.7383 17.0 25517 5.3308
4.675 18.0 27018 5.3203
4.6223 19.0 28519 5.3429
4.5733 20.0 30020 5.3362

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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