metadata

license: other
library_name: peft
tags:
  - generated_from_trainer
base_model: HuggingFaceM4/idefics-9b-instruct
metrics:
  - accuracy
model-index:
  - name: idefics-9b-instruct-lr-3e-4-neighborhood
    results: []

idefics-9b-instruct-lr-3e-4-neighborhood

This model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Accuracy: 0.2713

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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5.0

Training results

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2