---
tags:
- generated_from_trainer
model-index:
- name: ROCO_pmc_llava-v1.6-mistral_qfomer
  results: []
---

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# 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