metadata
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: gm-lora-float32-idefics2-8b-midefics-cpu
results: []
gm-lora-float32-idefics2-8b-midefics-cpu
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: 0.7164
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: 5e-05
- 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: 50
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.3207 | 0.4211 | 20 | 1.1021 |
0.9194 | 0.8421 | 40 | 0.7737 |
0.7603 | 1.2632 | 60 | 0.7334 |
0.7111 | 1.6842 | 80 | 0.7164 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1