---
tags:
- generated_from_trainer
model-index:
- name: ROCO_llava-v1.6-mistral-pmc_PMC
  results: []
---

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# 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