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End of training
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metadata
license: other
base_model: microsoft/phi-1_5
tags:
  - generated_from_trainer
model-index:
  - name: phi-1_5-finetuned-model-instruction
    results: []

phi-1_5-finetuned-model-instruction

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

  • Loss: 2.0478

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: 0.0004
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
2.1228 0.81 250 2.1649
2.0486 1.62 500 2.1162
1.9924 2.44 750 2.0775
1.9132 3.25 1000 2.0590
1.8639 4.06 1250 2.0433
1.8384 4.87 1500 2.0478

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1