metadata
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-4
results: []
gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-4
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: 0.7114
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: 20
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2963 | 0.2632 | 50 | 0.7880 |
| 0.7353 | 0.5263 | 100 | 0.7475 |
| 0.716 | 0.7895 | 150 | 0.7302 |
| 0.6689 | 1.0526 | 200 | 0.7295 |
| 0.5496 | 1.3158 | 250 | 0.7256 |
| 0.5534 | 1.5789 | 300 | 0.7177 |
| 0.5419 | 1.8421 | 350 | 0.7114 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1