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---
library_name: transformers
license: other
base_model: llava-hf/llava-v1.6-mistral-7b-hf
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: Compcap_cooccur_0_80
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Compcap_cooccur_0_80
This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the Compcap_cooccur_0_80 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7911
## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9418 | 0.1692 | 50 | 0.9316 |
| 0.8739 | 0.3384 | 100 | 0.8767 |
| 0.8408 | 0.5076 | 150 | 0.8505 |
| 0.8415 | 0.6768 | 200 | 0.8333 |
| 0.8121 | 0.8460 | 250 | 0.8218 |
| 0.7579 | 1.0152 | 300 | 0.8134 |
| 0.7469 | 1.1844 | 350 | 0.8087 |
| 0.7411 | 1.3536 | 400 | 0.8031 |
| 0.7378 | 1.5228 | 450 | 0.7980 |
| 0.7423 | 1.6920 | 500 | 0.7938 |
| 0.7363 | 1.8613 | 550 | 0.7900 |
| 0.6778 | 2.0305 | 600 | 0.7938 |
| 0.6716 | 2.1997 | 650 | 0.7936 |
| 0.6809 | 2.3689 | 700 | 0.7926 |
| 0.6973 | 2.5381 | 750 | 0.7919 |
| 0.6804 | 2.7073 | 800 | 0.7912 |
| 0.6684 | 2.8765 | 850 | 0.7911 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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