phi-1_5-sft-openhermes-v2

This model is a fine-tuned version of microsoft/phi-1_5 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1750

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: 8e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
1.7865 0.0831 275 1.4033
1.3614 0.1663 550 1.3218
1.2986 0.2494 825 1.2788
1.2667 0.3325 1100 1.2531
1.2405 0.4157 1375 1.2376
1.2239 0.4988 1650 1.2237
1.2078 0.5819 1925 1.2122
1.2114 0.6651 2200 1.2005
1.2028 0.7482 2475 1.1915
1.173 0.8313 2750 1.1833
1.1782 0.9144 3025 1.1776
1.1805 0.9976 3300 1.1720
1.0112 1.0807 3575 1.1817
0.9988 1.1638 3850 1.1791
0.9919 1.2470 4125 1.1786
0.9886 1.3301 4400 1.1768
0.9904 1.4132 4675 1.1763
1.001 1.4964 4950 1.1756
0.9979 1.5795 5225 1.1751
0.9858 1.6626 5500 1.1750
0.9975 1.7458 5775 1.1750
0.9924 1.8289 6050 1.1750
0.9978 1.9120 6325 1.1750
0.9892 1.9952 6600 1.1750

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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