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zephyr-7b-stem-case-7

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the EunsuKim/instruct and the scottsuk0306/DepthQA datasets. It achieves the following results on the evaluation set:

  • Loss: 0.0095

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
1.035 1.0 7 0.8066
0.8612 2.0 14 0.5046
0.4464 3.0 21 0.2836
0.2872 4.0 28 0.1444
0.1132 5.0 35 0.0621
0.0555 6.0 42 0.0280
0.0371 7.0 49 0.0172
0.017 8.0 56 0.0122
0.0126 9.0 63 0.0100
0.0099 10.0 70 0.0095

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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