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gemma-2b-medical_tuned

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
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gemma-2b-medical_tuned / README.md
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metadata
license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: google/gemma-2b
model-index:
  - name: train_2024-02-24-21-21-49
    results: []

train_2024-02-24-21-21-49

This model is a fine-tuned version of google/gemma-2b on the med_data 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: 0.0002
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.8.2
  • Transformers 4.38.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2