metadata
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: gm-qlora-float16-idefics2-8b-midefics
results: []
gm-qlora-float16-idefics2-8b-midefics
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: 0.6739
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5316 | 0.2 | 38 | 0.7854 |
| 0.7931 | 0.4 | 76 | 0.7384 |
| 0.8019 | 0.6 | 114 | 0.7167 |
| 0.7487 | 0.8 | 152 | 0.6992 |
| 0.7416 | 1.0 | 190 | 0.6887 |
| 0.5919 | 1.2 | 228 | 0.6977 |
| 0.5819 | 1.4 | 266 | 0.6903 |
| 0.5948 | 1.6 | 304 | 0.6849 |
| 0.5858 | 1.8 | 342 | 0.6780 |
| 0.5539 | 2.0 | 380 | 0.6739 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1