metadata

language:
  - en
license: openrail
library_name: peft
tags:
  - medical
datasets:
  - keivalya/MedQuad-MedicalQnADataset
pipeline_tag: conversational
base_model: euclaise/falcon_1b_stage2

PEFT-MedAware

This model is a fine-tuned version of euclaise/falcon_1b_stage2 on an unknown 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1

Training results

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3