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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_l0_0_60
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_l0_0_60
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_l0_0_60 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8093
## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.9348 | 0.2257 | 50 | 0.9328 |
| 0.8794 | 0.4515 | 100 | 0.8777 |
| 0.851 | 0.6772 | 150 | 0.8527 |
| 0.8374 | 0.9029 | 200 | 0.8356 |
| 0.7654 | 1.1287 | 250 | 0.8281 |
| 0.7551 | 1.3544 | 300 | 0.8203 |
| 0.7532 | 1.5801 | 350 | 0.8145 |
| 0.7599 | 1.8059 | 400 | 0.8092 |
| 0.6957 | 2.0316 | 450 | 0.8096 |
| 0.7004 | 2.2573 | 500 | 0.8109 |
| 0.7026 | 2.4831 | 550 | 0.8101 |
| 0.7225 | 2.7088 | 600 | 0.8095 |
| 0.6961 | 2.9345 | 650 | 0.8093 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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