ROCO_pmc_llava-v1.6-mistral_qfomer
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0025
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.875 | 0.24 | 500 | 2.0133 |
| 2.125 | 0.49 | 1000 | 2.0040 |
| 2.0469 | 0.73 | 1500 | 2.0028 |
| 1.9609 | 0.98 | 2000 | 2.0025 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.15.1
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