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metadata
license: mit
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
  - ipex
  - dolly
  - max series gpu
base_model: microsoft/phi-1_5
datasets:
  - generator
model-index:
  - name: phiverse-1_5-lora-tuned-dolly.sft
    results: []

Training Hardware

This model was trained using Intel GPU:

  • Intel(R) Data Center GPU Max 1100
  • CPU: Intel(R) Xeon(R) Platinum 8480+

phiverse-1_5-lora-tuned-dolly.sft

This model is a fine-tuned version of microsoft/phi-1_5 on the dolly 15k dataset from databricks (databricks/databricks-dolly-15k). It achieves the following results on the evaluation set:

  • Loss: 2.4899

Intended uses

Text generation tasks including chatbots, content generation, and various other NLP applications.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.05
  • training_steps: 296

Training results

Training Loss Epoch Step Validation Loss
2.7682 1.6129 100 2.5802
2.5575 3.2258 200 2.4899

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.2
  • Pytorch 2.1.0.post0+cxx11.abi
  • Datasets 2.19.1
  • Tokenizers 0.19.1