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yi-6b-llama-onc-v1

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
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yi-6b-llama-onc-v1 / README.md
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metadata
license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: chargoddard/Yi-6B-Llama
model-index:
  - name: model-update
    results: []

model-update

This model is a fine-tuned version of chargoddard/Yi-6B-Llama on the oncc_medqa_instruct dataset.

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: 0.0005
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 1.0

Training results

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.17.0
  • Tokenizers 0.15.2