metadata
base_model: llava-hf/llava-1.5-7b-hf
library_name: peft
license: llama2
metrics:
- bleu
- rouge
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llava_test
results: []
llava_test
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5219
- Bleu: 0.0477
- Rouge1: 0.2804
- Rouge2: 0.0966
- Rougel: 0.2140
- Bertscore Precision: 0.7005
- Bertscore Recall: 0.7759
- Bertscore F1: 0.7362
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel | Bertscore Precision | Bertscore Recall | Bertscore F1 |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.3261 | 10.0 | 10 | 2.5219 | 0.0477 | 0.2804 | 0.0966 | 0.2140 | 0.7005 | 0.7759 | 0.7362 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.1