metadata

license: cc
library_name: peft
tags:
  - generated_from_trainer
base_model: medalpaca/medalpaca-7b
model-index:
  - name: medalpaca-7b_med_n900
    results: []

medalpaca-7b_med_n900

This model is a fine-tuned version of medalpaca/medalpaca-7b 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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.1