metadata
license: other
base_model: HuggingFaceM4/idefics-9b-instruct
tags:
- generated_from_trainer
model-index:
- name: idefics-9b-instruct-ft-instruct-compact
results: []
idefics-9b-instruct-ft-instruct-compact
This model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7449 | 0.18 | 25 | 3.3985 |
| 2.0448 | 0.36 | 50 | 1.6004 |
| 0.7728 | 0.54 | 75 | 0.5974 |
| 0.5519 | 0.73 | 100 | 0.5353 |
| 0.5128 | 0.91 | 125 | nan |
| 6.5038 | 1.09 | 150 | nan |
| 8.2169 | 1.27 | 175 | nan |
| 3.1474 | 1.45 | 200 | nan |
| 3.2837 | 1.63 | 225 | nan |
| 2.7581 | 1.81 | 250 | nan |
| 6.01 | 2.0 | 275 | nan |
| 5.9971 | 2.18 | 300 | nan |
| 6.5173 | 2.36 | 325 | nan |
| 10.7043 | 2.54 | 350 | nan |
| 2.5312 | 2.72 | 375 | nan |
| 3.013 | 2.9 | 400 | nan |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0