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: 0.6872
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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 30
- 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 |
|---|---|---|---|
| 1.4399 | 0.2999 | 38 | 0.7745 |
| 0.8072 | 0.5998 | 76 | 0.7329 |
| 0.7577 | 0.8998 | 114 | 0.7067 |
| 0.6603 | 1.1997 | 152 | 0.7081 |
| 0.6099 | 1.4996 | 190 | 0.6960 |
| 0.6045 | 1.7995 | 228 | 0.6872 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.0.1
- Datasets 2.19.1
- Tokenizers 0.19.1