ROCO_llava-v1.6-mistral-pmc_PMC
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.9656
- eval_runtime: 4067.2626
- eval_samples_per_second: 2.01
- eval_steps_per_second: 1.005
- epoch: 0.73
- step: 3000
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: 8
- total_train_batch_size: 16
- 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
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.1
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