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metadata
license: mit
base_model: microsoft/Phi-3-small-8k-instruct
tags:
  - generated_from_trainer
model-index:
  - name: phi3-spin-zephyr-data
    results: []

phi3-spin-zephyr-data

This model is a fine-tuned version of microsoft/Phi-3-small-8k-instruct on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1643
  • Rewards/real: -4.3165
  • Rewards/generated: -36.8197
  • Rewards/accuracies: 0.9626
  • Rewards/margins: 32.5032
  • Logps/generated: -659.6320
  • Logps/real: -295.5523
  • Logits/generated: -inf
  • Logits/real: -inf

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: 5e-07
  • 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: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rewards/real Rewards/generated Rewards/accuracies Rewards/margins Logps/generated Logps/real Logits/generated Logits/real
0.3303 0.32 500 0.2003 -4.8459 -23.8426 0.9371 18.9967 -529.8613 -300.8461 -inf -inf
0.0933 0.64 1000 0.1598 -4.6590 -34.8525 0.9610 30.1935 -639.9600 -298.9768 -inf -inf
0.2065 0.96 1500 0.1643 -4.3165 -36.8197 0.9626 32.5032 -659.6320 -295.5523 -inf -inf

Framework versions

  • Transformers 4.37.0
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.2