metadata

license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
  - generated_from_trainer
model-index:
  - name: gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned
    results: []

gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned

This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5530
eval_runtime: 80.7835
eval_samples_per_second: 2.488
eval_steps_per_second: 2.488
epoch: 1.9737
step: 750

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 10
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 2

Framework versions

Transformers 4.41.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.19.0
Tokenizers 0.19.1