zephyr-7b-stem-case-2

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

  • Loss: 0.2113

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: 4
  • total_train_batch_size: 32
  • total_eval_batch_size: 32
  • 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
1.0974 1.0 1 1.1027
1.0974 2.0 2 1.2132
1.0974 3.0 3 0.9654
1.0974 4.0 4 0.6956
0.9948 5.0 5 0.5648
0.9948 6.0 6 0.3997
0.9948 7.0 7 0.3115
0.9948 8.0 8 0.2529
0.9948 9.0 9 0.2212
0.3483 10.0 10 0.2113

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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Dataset used to train scottsuk0306/zephyr-7b-stem-case-2