metadata
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: gm-qlora-float16-idefics2-8b-xrayvqa-finetuned
results: []
gm-qlora-float16-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:
- Loss: 1.0386
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8862 | 0.4444 | 10 | 1.1280 |
| 0.8261 | 0.8889 | 20 | 0.8034 |
| 0.6098 | 1.3333 | 30 | 0.8407 |
| 0.5778 | 1.7778 | 40 | 0.7942 |
| 0.5059 | 2.2222 | 50 | 0.8734 |
| 0.4059 | 2.6667 | 60 | 0.8864 |
| 0.3868 | 3.1111 | 70 | 0.8949 |
| 0.3025 | 3.5556 | 80 | 1.0386 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1