gm-qlora-float16-idefics2-8b-indiana
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: 0.3401
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 |
---|---|---|---|
1.4248 | 0.1408 | 41 | 0.7825 |
0.7397 | 0.2817 | 82 | 0.6691 |
0.6407 | 0.4225 | 123 | 0.6101 |
0.606 | 0.5634 | 164 | 0.5650 |
0.575 | 0.7042 | 205 | 0.5273 |
0.5301 | 0.8451 | 246 | 0.4916 |
0.4834 | 0.9859 | 287 | 0.4677 |
0.3982 | 1.1268 | 328 | 0.4448 |
0.366 | 1.2676 | 369 | 0.4266 |
0.3493 | 1.4085 | 410 | 0.4068 |
0.3478 | 1.5493 | 451 | 0.3865 |
0.3173 | 1.6901 | 492 | 0.3681 |
0.3036 | 1.8310 | 533 | 0.3515 |
0.2917 | 1.9718 | 574 | 0.3401 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1
Model tree for gimarchetti/gm-qlora-float16-idefics2-8b-indiana
Base model
HuggingFaceM4/idefics2-8b
Finetuned
this model