metadata

license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: tinyllama-medqa-jp-v1
    results: []
datasets:
  - keivalya/MedQuad-MedicalQnADataset
pipeline_tag: question-answering
widget:
  - text: >
      <|system|>

      You are a chatbot who can help code!</s>

      <|user|>

      Write me a function to calculate the first 10 digits of the fibonacci
      sequence in Python and print it out to the CLI.</s>

      <|assistant|>

tinyllama-medqa-jp-v1

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset.

Model description

Testing Quantization and training a small model to answer medical questions.

Intended uses & limitations

Only intended for learning fine tuning techniques.

Training and evaluation data

The model was trained on sample of dataset - https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset

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
training_steps: 250
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1